Remote Senior Site Reliability Engineer ML Platforms
Are you passionate about building and maintaining large-scale production systems that support advanced data science and machine learning applications? Do you want to join a team at the heart of NVIDIA's data-driven decision-making culture? If so, we have a great opportunity for you! NVIDIA is seeking a Senior Site Reliability Engineer (SRE) for the Data Science & ML Platform(s) team. The role involves designing, building, and maintaining services that enable real-time data analytics, streaming, data lakes, observability and ML/AI training and inferencing. The responsibilities include implementing software and systems engineering practices to ensure high efficiency and availability of the platform, as well as applying SRE principles to improve production systems and optimize service SLOs. Additionally, collaboration with our customers to plan implement changes to the existing system, while monitoring capacity, latency, and performance is part of the role. To succeed in this position, a strong background in SRE practices, systems, networking, coding, capacity management, cloud operations, continuous delivery and deployment, and open-source cloud enabling technologies like Kubernetes and OpenStack is required. Deep understanding of the challenges and standard methodologies of running large-scale distributed systems in production, solving complex issues, automating repetitive tasks, and proactively identifying potential outages is also necessary. Furthermore, excellent communication and collaboration skills, and a culture of diversity, intellectual curiosity, problem solving, and openness are essential. As a Senior SRE at NVIDIA, you will have the opportunity to work on innovative technologies that power the future of AI and data science, and be part of a dynamic and supportive team that values learning and growth. The role provides the autonomy to work on meaningful projects with the support and mentorship needed to succeed, and contributes to a culture of blameless postmortems, iterative improvement, and risk-taking. If you are seeking an exciting and rewarding career that makes a difference, we invite you to apply now! What you’ll be doing: Develop software solutions to ensure reliability and operability of large-scale systems supporting machine-critical use cases. Gain a deep understanding of our system operations, scalability, interactions, and failures to identify improvement opportunities and risks. Create tools and automation to reduce operational overhead and eliminate manual tasks. Establish frameworks, processes, and standard methodologies to enhance operational maturity, team efficiency, and accelerate innovation. Define meaningful and actionable reliability metrics to track and improve system and service reliability. Oversee capacity and performance management to facilitate infrastructure scaling across public and private clouds globally. Build tools to improve our service observability for faster issue resolution. Practice sustainable incident response and blameless postmortems What we need to see: Minimum of 10 years of experience in SRE, Cloud platforms, or DevOps with large-scale microservices in production environments. Master's or Bachelor's degree in Computer Science or Electrical Engineering or CE or equivalent experience. Strong understanding of SRE principles, including error budgets, SLOs, and SLAs. Proficiency in incident, change, and problem management processes. Skilled in problem-solving, root cause analysis, and optimization. Experience with streaming data infrastructure services, such as Kafka and Spark. Expertise in building and operating large-scale observability platforms for monitoring and logging (e.g., ELK, Prometheus). Proficiency in programming languages such as Python, Go, Perl, or Ruby. Hands-on experience with scaling distributed systems in public, private, or hybrid cloud environments. Experience in deploying, supporting, and supervising services, platforms, and application stacks. Ways to stand out from the crowd: Experience operating large-scale distributed systems with strong SLAs. Excellent coding skills in Python and Go and extensive experience in operating data platforms. Knowledge of CI/CD systems, such as Jenkins and GitHub Actions. Familiarity with Infrastructure as Code (IaC) methodologies and tools. Excellent interpersonal skills for identifying and communicating data-driven insights. NVIDIA leads the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions, from artificial intelligence to autonomous cars. NVIDIA is looking for exceptional people like you to help us accelerate the next wave of artificial intelligence. The base salary range is 224,000 USD - 425,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Python, DevOps, Cloud, Senior and Engineer jobs that are similar:\n\n
$60,000 — $135,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nUS, CA, Santa Clara
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
Remote Senior System Software Engineer Cloud Networking
We are looking for a Senior System Software Engineer, Cloud Networking to design, prototype, implement and operate programmable software-defined networking solutions for NVIDIA Virtualized Clouds hosting GPU-accelerated applications. NVIDIA's invention of the GPU redefined modern computer graphics, revolutionized parallel computing and sparked the growth of the PC gaming market. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI Computing Company” and one of the best companies to work for. We are looking to grow our Company and grow with the most thoughtful people in the world. We are looking for you! What you’ll be doing: Develop and maintain CICD environments for Cloud Software Defined Network (SDN) projects, including: Design new, enhance and support existing GitLab CICD pipelines across the entire stack - Linux host networking, OVS, OVN and Kubernetes CNIs Write and maintain automated tests (unit, integration, system) Implement GitOps practices within the team Collaborate with multiple teams (SRE, DevOPs, network engineering) What we need to see: BA/BS degree in Computer Science, or in related technical field or equivalent experience At least 12 years of experience in designing and supporting complex, multi-stage CICD pipelines across multiple codebases Advanced knowledge of networking (datacenter routing and switching, Linux host and VM) Advanced scripting, "Infrastructure as a Code" build and deployment tools (Bash, Python, Make, Ansible, Terraform, ArgoCD, Flux) Good command in programming languages (C and Go) to support test coverage for OVS, OVN and OVN-Kubernetes CNI code bases Deep knowledge of Kubernetes environment, practical experience with deploying and supporting CNIs Ways to stand out from the crowd: MS or PhD in Computer Science or an equivalent technical field Expert level knowledge of OVN, OVS, OpenFlow Experience with Rust programming language, Nix, Z, Basel Practical experience with major cloud providers (AWS, Azure, GCP) and hybrid/multi-cloud deployments Contributions to open-source projects as well as experience supporting large scale AI/HPC compute with hardware acceleration (GPU, DPU) and strong communication and collaboration skills NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you! The base salary range is 224,000 USD - 356,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, Cloud, Senior, Engineer and Linux jobs that are similar:\n\n
$70,000 — $130,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nUS, CA, Santa Clara
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
Remote Senior Systems Engineer Autonomous Vehicle Infrastructure
The autonomous vehicle (AV) infrastructure group builds foundational infrastructure and tools to enable NVIDIA's AV program. We are seeking a motivated Senior Engineer to join our team in building and scaling our cloud-native infrastructure which powers 100s of micro-services and large scale HPC clusters (15k+ GPUs). You'll play a critical role in driving infrastructure innovation across our organization. Ideal candidates will have strong software development as well as operational (SRE) skills. What you'll be doing: Develop, operate and maintain tooling and automation to enhance developer productivity and operational efficiency for the org Lead the development of infrastructure automation frameworks, and CI/CD pipelines, ensuring robust, scalable, and secure cloud-native applications deployment Engage directly with engineering users to understand their needs and improve their experience by recommending robust, scalable cloud solutions. Contribute to the design and architecture of the cloud infrastructure, traffic and networking components to meet the evolving needs of our internal developer platform Play pivotal role in improving cloud infrastructure and services reliability and performance Troubleshoot complex production issues What we need to see: BS/MS in Computer Science, Engineering or STEM related field (or equivalent experience) 8+ years of professional experience in related field Strong programming fundamentals with expertise in Go and Python Experience developing and operating micro-services at scale Good understanding of the SRE best practices, alerting and observability Advanced Kubernetes workload management expertise, including traffic management, deployment strategies, observability, and security Strong Infrastructure as Code (IaC) fundamentals with experience in developing infrastructure CI/CD pipelines, automation frameworks, and IaC libraries Ways to stand out from the crowd: Motivated self-starter with an equal balance of strong problem-solving skills and customer-facing communication skills Excellent written and verbal interpersonal skills. Contributions to open-source projects Previous experience with building sophisticated tooling and SRE automation on the large GPU/CPU clusters Deep AWS expertise across core services (VPC, IAM, EC2, S3, RDS, CloudFront, EKS) with proven experience in designing and managing scalable cloud infrastructure The base salary range is 184,000 USD - 356,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Cloud, Senior and Engineer jobs that are similar:\n\n
$65,000 — $130,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nUS, CA, Santa Clara
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you will be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Join the team and see how you can make a lasting impact on the world! We have positions available for enthusiastic, hardworking and experienced software developers for working on our hardware integration and bare-metal provisioning related functionality in our Linux-based cluster management software environment. NVIDIA's Bright Cluster Manager is used to power thousands of Linux clusters around the world, varying from a few nodes to several thousands of nodes. Bright clusters can run on-premises, completely in the cloud, or in a hybrid environment. What you’ll be doing: Development of the head node and compute node installation and provisioning processes. Work on functionality in the area of edge site deployment. Integrating our product with the latest hardware (e.g GPUs, DPUs, accelerators, high-speed interconnects such as Infiniband). Work on features related to composable infrastructure management. Develop new features for our BIOS and firmware upgrade management. Develop functionality that makes Bright clusters usable for a wider range of workloads, and increases scalability to allow clusters to scale to huge number of nodes. Adding support for new Linux distributions. Improving support for alternative CPU architectures such as ARM. Work on adding features to our Ansible collections for Cluster Installation and Management. Assist our support team with customer support requests in the above mentioned features and help our customers to use our product more efficiently. What we need to see: Degree in Computer Science or related field (or equivalent experience). 7+ years of experience in software development and/or related roles. Our software is based on Linux. You should be very familiar with the Linux operating system and in particular with networking concepts in Linux. In addition, good practical knowledge about the most common software that is installed as part of a typical Linux installation is required. You are proficient in Python and intimately familiar with object oriented software design, design patterns, and concurrent programming techniques. Emphasis on high quality of work and in producing clean code. Eager to learn and use new technologies. Ways to stand out from the crowd: Experience with Ansible. Experience with high-performance computing and system administration. Knowledge of Kubernetes, AWS, Azure, GCE, OpenStack, Jenkins and distributed programming. Proficiency in C++. The base salary range is 184,000 USD - 356,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Node, Senior and Linux jobs that are similar:\n\n
$60,000 — $110,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nUS, CA, Santa Clara
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
Remote Senior Site Reliability Engineer Observability and Telemetry Platform
Site Reliability Engineering (SRE) at NVIDIA is an engineering discipline to design, build and maintain large scale production systems with high efficiency and availability using the combination of software and systems engineering practices. This is a highly specialized discipline which demands knowledge across different systems, networking, coding, database, capacity management, continuous delivery and deployment and open source cloud enabling technologies like Kubernetes and OpenStack. SRE at NVIDIA ensures that our internal and external facing GPU cloud services run maximum reliability and uptime as promised to the users and at the same time enabling developers to make changes to the existing system through careful preparation and planning while keeping an eye on capacity, latency and performance. SRE is also a mindset and a set of engineering approaches to running better production systems and optimizations. Much of our software development focuses on eliminating manual work through automation, performance tuning and growing efficiency of production systems. As SREs are responsible for the big picture of how our systems relate to each other, we use a breadth of tools and approaches to tackle a broad spectrum of problems. Practices such as limiting time spent on reactive operational work, blameless postmortems and proactive identification of potential outages factor into iterative improvement that is key to both product quality and interesting dynamic day-to-day work. SRE's culture of diversity, intellectual curiosity, problem solving and openness is important to our success. Our organization brings together people with a wide variety of backgrounds, experiences and perspectives. We encourage them to collaborate, think big and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to build an environment that provides the support and mentorship needed to learn and grow. What you'll be doing: Design, implement and support operational and reliability aspects of large scale Observability & Telemetry collection platform with a focus on performance at scale, real time monitoring, logging and alerting Engage in and improve the whole lifecycle of services—from inception and design through deployment, operation and refinement Support services before they go live through activities such as system design consulting, developing software tools, platforms and frameworks, capacity management and launch reviews Maintain services once they are live by measuring and monitoring availability, latency and overall system health Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity Practice sustainable incident response and blameless postmortems Be part of an on call rotation to support production systems What we need to see: BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics), or equivalent experience 5+ years of experience with Infrastructure automation, distributed systems design, experience with design, develop tools for running large scale private or public cloud system in Production 5+ years experience delivering foundational infrastructure and observability platforms. Experience in one or more of the following: Python, Go, Perl or Ruby In depth knowledge on Linux, Networking and Containers Ways to stand out from the crowd: Interest in crafting, analyzing and fixing large-scale distributed systems Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive. Ability to debug and optimize code and automate routine tasks Experience in using or running large private and public cloud systems based on Kubernetes, OpenStack and Docker. Experience running Grafana, OpenTelemetry, Prometheus, and similar observability focused tools The base salary range is 140,000 USD - 258,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, Cloud, Ruby, Senior and Engineer jobs that are similar:\n\n
$50,000 — $80,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nUS, CA, Santa Clara
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
NVIDIA is looking for an engineer who wants the excitement of direct customer interaction, and the reward of contributing to software and products, to join our team of Solution Engineers working on the NVIDIA AI Enterprise product line! You will be working directly with customers to get them solutions. This will mean working to triage customer issues, finding solutions, and keeping customers appraised on status. You must have excellent problem-solving abilities and communication skills and be able to work on multiple projects and tasks. You must be technically strong in Linux, have solid programming skills, and possess experience working with AI technologies.. We are looking for an experienced engineer to triage customer software issues, resolve customer problems, and contribute to products and support software. What you'll be doing: Provide direct support to our NVIDIA Enterprise customers and work to answer questions, reproduce, resolve, or escalate customer issues. Work with engineering teams on customer issues, providing logs, reproduction information, and other triage information. Create/update product and/or support tools. Take ownership and drive customer issues from inception to resolution. Document customer interactions and better enhance our knowledge base. Develop features and tools as part of solution engineering efforts to support AI Enterprise technologies Occasional work on weekends and holidays to support customers What we need to see: Minimum of a BS in Computer Science, Electrical Engineering, or equivalent experience. At least 5+ years of engineering experience with a proven track record in AI/ML-focused projects or enterprise-grade solutions. Solid understanding of Linux and the ability to troubleshoot, optimize, and customize Linux environments for AI/ML workloads. Strong AI/ML expertise. Professional-level communication skills, including the ability to adjust communication to the technical level of the audience, and stay calm and focused in negative situations. Excellent follow-up and organizational skills, with a passion or love for solving problems. Proficient in Python programming with the ability to develop scripts and build custom tools. Experience with parallel programming or GPU acceleration (e.g., CUDA) is highly desirable. Ways to stand out from the crowd: Experience with Chatbots, RAG pipelines, vector databases, distributed training or inference workloads Experience developing in cloud and/or virtualized environments Containerized solutions experience with knowledge of Docker and/or Kubernetes Experience with common deep learning frameworks such as PyTorch or TensorFlow Experience developing with C/C++ The base salary range is 132,000 USD - 258,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Python, Docker, Cloud, Senior and Engineer jobs that are similar:\n\n
$55,000 — $100,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nUS, CA, Santa Clara
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
Do you want to be part of the team that brings Artificial Intelligence (AI) emerging technology to the field? We are looking for hardworking Solution Architect (SA) to join the NVIDIA AI Enterprise (NVAIE) SA Segment Team. The mission of the NVAIE Segment team is to guide and enable the successful adoption at scale of DGX Cloud and NVIDIA AI Enterprise Software in production. NVIDIA DGX Cloud is an AI platform for enterprise developers, optimized for the demands of generative AI. The DGX Cloud SA team is dedicated to shaping the future of DGX Cloud by actively gathering and incorporating customer feedback and product requirements. Our team will help optimize the onboarding process for DGX Cloud customers, ensuring fast time to insights and exceptional experience. Additionally, we will collaborate with internal teams to scale expertise and knowledge through training and the creation of repeatable guides. Our focus on building demos, qualifications, and assets will streamline the pre-sales process, ultimately increasing sales and adoption of DGX Cloud. What you’ll be doing: Work closely with DGX Cloud Customers, become their trusted technical advisor, advocate for their needs, and ensure they are successful in accomplishing their business goals with the platform. Accelerate customer onboarding and time to insights with DGX Cloud Scale knowledge, reach, and opportunities by building and educating vertical teams and communities on DGX Cloud. Provide technical education and facilitate field product feedback to improve DGX Cloud. Enable successful first-time integration and deployment of NVAIE Emerging SW products with DGX Cloud. What we need to see: Strong foundational expertise, from a BS, MS, or Ph.D. degree in Engineering, Mathematics, Physics, Computer Science, Data Science, or similar (or equivalent experience) 5+ years of proven experience with one or more Tier-1 Clouds (AWS, Azure, GCP or OCI) and cloud-native architectures and software. Proven experience in technical leadership, strong understanding of NVIDIA technologies, and success in working with customers. Expertise with parallel filesystems (e.g. Lustre, GPFS, BeeGFS, WekaIO) and high-speed interconnects (InfiniBand, Omni Path, and Gig-E). Strong coding and debugging skills, and demonstrated expertise in one or more of the following areas: Machine Learning, Deep Learning, Slurm, Kubernetes, MPI, MLOps, LLMOps, Ansible, Terraform, and other high-performance AI cluster solutions. Proficient in deploying GPU applications in Slurm and Kubernetes. Experience with high performance or large scale computing environments. Ways to stand out from the crowd: Hands-on experience with DGX Cloud, NVIDIA AI Enterprise AI Software, Base Command Manager, NEMO and NVIDIA Inference Microservices. Experience with integration and deployment of software products in production enterprise environments, and microservices software architecture. The base salary range is 148,000 USD - 230,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Education, Cloud and Sales jobs that are similar:\n\n
$40,000 — $90,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nUS, CA, Santa Clara
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
Remote Senior Software Architect Advanced Development
NVIDIA has been defining computer graphics, PC gaming, and accelerated computing for more than 25 years. With an outstanding legacy of innovation, driven by phenomenal technology, and extraordinary people, NVIDIA is looking for a senior architect to join us in shaping the future. As a senior architect in the Advanced Development team, you will craft architectural solutions and be a part of proof-of-concept development across numerous technological fields, related to the modern data center, such as distributed AI and deep learning solutions, data analytics, High Performance Computing (HPC), Software Defined Networking (SDN), virtualization, storage, and more. What you’ll be doing: Research, design and develop solutions in the field on network programmability which involves innovative software and hardware. Work closely with various groups within NVIDIA to accelerate network programmability technologies, including eco-systems like eBPF, P4 and more. Perform proof-of-concept and simulation development to evaluate and drive pioneering network programmability technology. What we need to see: Hold a B.Sc., M.Sc. or Ph.D. in Computer Science, Electrical or Computer Engineering from a leading university (or equivalent experience). 8+ years of industry experience (or equivalent) in system programming or related fields. Background in algorithm design, system programming, and computer architecture. Strong programming and software development skills. A teammate with a can-do attitude, high energy and excellent interpersonal skills. Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment. Ways to stand out from the crowd: Proven research track record. Experience with eBPF or P4 language. Experience in network programmability. Background in Kubernetes. Stellar communication skills. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design and Senior jobs that are similar:\n\n
$55,000 — $85,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nUS, CA, Santa Clara
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
We are looking for a AI Solution Architect Engineer with experience in Generative AI software development and deployment. As part of the Solution Architect organization, we work with the most exciting computing hardware and software, driving the latest breakthroughs in deep learning and AI with NVIDIA’s key customers. This role offers an excellent opportunity to build your career in the rapidly growing field of AI while working with the world's most successful technology companies. Primary responsibilities will be to lead software customer technical engagements with NVIDIA products and technologies. Join us in this exciting endeavor! What you’ll be doing: Develop and demonstrate software solutions based on NVIDIA’s ground breaking AI software and hardware technologies to customers. Develop GenAI model pipeline and perform in-depth analysis and optimization to ensure the best performance on current- and next-generation GPU architectures Develop and debug software for NVIDIA and OSS AI frameworks and libraries Lead and develop proof-of-concepts (PoCs) for software solutions applied to Consumer Internet industry use-cases such as NLP/LLM, retrieval, recommender, etc. by working closely with customer's AI developers. Build collateral (notebook/code) for PoCs Work closely with business development team owning the technical relationship and enabling customer in building innovative solutions based on NVIDIA technologies Partner with NVIDIA software engineering, product, sales teams to secure design wins at customers. Enable development and growth of NVIDIA product features through customer feedback and PoC evaluations What we need to see: BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields or equivalent experience 5+ years of experience as an AI/Software Engineer with proven track record coding in Python and/or C++ with popular AI software libraries and GPUs Experience with GenAI applications and LLM training/fine-tuning, inference optimization and/or RAG pipelines Ability to communicate your ideas/code clearly through GitHub, documentation Great teammate who enjoys collaborating with teams across the organization such as Engineering/Research, Sales, Product, and Marketing Effective verbal/written communication, and technical presentation skills Self-starter with passion for growth, enthusiasm for continuous learning and sharing findings across the team Ways to stand out from the crowd: Experience working with enterprise developers and customer facing skills Experience with large-scale production data pipelines and AI model training/deployment Knowledge of MLOps technologies such as containers, Kubernetes, data center deployments etc. Able to think creatively to debug and solve complex problems We make extensive use of conferencing tools, but occasional travel is required for local on-site visit to customers and data science conferences. We are open to remote work location. We look forward to have you join our team! With highly competitive salaries, a comprehensive benefits package, and an excellent engineering work culture, NVIDIA is widely considered to be one of the technology industry's most desirable employers. NVIDIA has some of the most innovative people working on meaningful problems that are defining the field of ML/DL, data science, robotics, and graphics. The base salary range is 148,000 USD - 230,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Marketing, Sales and Engineer jobs that are similar:\n\n
$50,000 — $90,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nUS, CA, Santa Clara
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
NVIDIA is looking for an experienced systems and network infrastructure Solutions Architect Engineer. Do you want to be part of a team that brings new Artificial Intelligence (AI) hardware and software technologies to production in the field? We are looking for a compute and networking savvy Solution Architect to join the NVIDIA Solution Architecture Engineering (SA) team focused on supporting accelerated computing applications. As part of the NVIDIA SA organization, you will be driving our end-to-end technology solutions integration with some of NVIDIA's most strategic technology customers, as well as offering recommendations to business and engineering teams on our product technology. What you'll be doing: Working with NVIDIA Consumer Internet and IT Services customers on data center GPU server and networking infrastructure deployments as solution architect. Guide customer discussions on network topologies, compute/storage and support bring up of server/network/cluster deployments. You will need to visit customer data center during bring up phase. Identifying new project opportunities for NVIDIA products and technology solutions in data center and artificial intelligence applications. Work closely with the Systems/Network Engineering, Product management and Sales teams Work as customer trusted advisor conducting regular technical customer meetings for product roadmap, cluster debug, feature discussions and introduction to new technology solutions Building custom product demonstrations and POCs for solutions that address critical business needs of our customers Analyzing and debugging compute/network performance issues What we need to see: BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience. This role is for an individual with the motivation and skills to drive the data center engineering process. Ideal candidate has 5+ years of Solution Engineering (or similar Engineering roles) experience System level understanding of server architecture, NICs, Linux, system software and kernel drivers Practical knowledge of Networking - switching & routing for Ethernet/Infiniband, and Data Center infrastructure (power/cooling) Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes Effective time management and capable of balancing multiple tasks Ability to communicate your ideas/code clearly through documents, presentation etc Ways to stand out from the crowd: External customer facing skill-set and background Experience with bringup and deployment of large clusters Systems engineering, coding, and debugging skills including experience with C/C++, Linux kernel and drivers Hands-on experience with NVIDIA systems/SDKs (e.g. CUDA), NVIDIA Networking technologies (e.g., DPU, RoCE, InfiniBand), and/or ARM CPU solutions Familiarity with virtualization technology concepts We make extensive use of conferencing tools, but occasional (20%) travel is required for on-site visit to customers and industry events. We are open to remote work location and look forward to have you join our team! NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! The base salary range is 148,000 USD - 230,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Sales and Sales jobs that are similar:\n\n
$50,000 — $120,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nUS, CA, Santa Clara
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI and enabled the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to address, that matters to the world, and that only we can address. This is our life’s work, to amplify human imagination and intelligence, and expand what is possible. We’re seeking strategic, bold, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve. Make the choice to join us today. We are looking for a Senior Software Engineer to join our mission to continue improving our HPC infrastructure. Our team builds and operates sophisticated infrastructure to enable business critical services and AI applications. You will be working with a team of passionate and skilled engineers that are continuously working to provide better tools to build and manage this infrastructure. Ideal candidate is strong in software development, designing and creating reliable distributed systems, and has the ability to implement well thought out long term maintenance strategy. What you’ll be doing: Design highly available and scalable systems to meet the demands of our HPC clusters Evaluate new and innovative technologies as the landscape evolves Continuously improve infrastructure provisioning and management using automation Support a globally distributed, multi-cloud hybrid environment - AWS, GCP and On-prem Build strong cross functional relationships and align with partners across various business units Ensure the highest level of up-time and Quality of Service (QoS) to our users through operational excellence Participate in team's on-call rotation and be a contact for service incidents What we need to see: 10+ years of experience in design, implementation, and delivery of large engineering projects Comfortable with at least two of the following programming languages: Golang, Java, C/C++, Scala, Python, Elixir. Understands scalability challenges and performance of server-side code. Able to craft and develop horizontally-scalable, resilient and performing-under-load systems. Versatile technologist with experience in full software development lifecycle – from inception and design to deployment, operation, and iterative development. Proficient in cloud computing and are hands-on in at least one cloud platform: GCP, AWS, or Azure. Proficient in modern CI/CD techniques, GitOps and Infrastructure as Code(IaC) Strong work ethic and a passion for problem solving B.S. degree in Computer Science or related technical field (or equivalent experience) Detail oriented with great communication and collaboration skills Ways to stand out from the crowd: Prior experience building solutions for HPC clusters based on Slurm or Kubernetes Strong understanding of Linux operation system and TCP/IP fundamentals The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, Cloud, Senior and Engineer jobs that are similar:\n\n
$47,500 — $90,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nUS, CA, Santa Clara
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s motivated by outstanding technology and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. NVIDIA is at the forefront of generative AI models, from language to images. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIA, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. We are looking for a Manager for Site Reliability Engineering to help build and lead its cloud service team for supporting, triaging, and building generative AI-powered visual applications. As SREs are responsible for the big picture of how our systems relate to each other, we use a breadth of tools and approaches to solve a broad spectrum of problems. We live SRE practices that are key to product quality, such as limiting time spent on reactive operational work, blameless postmortems, proactive identification of potential outages, and iterative improvements, which all make for exciting wide-ranging day-to-day work. The person in this position will be growing a SRE team for Service Response and workflow and will drive tools/service development to maintain and improve service SLOs. We partner with Service Owners to drive the reliability of the service. What you will be doing: Develop a team of SREs, providing mentorship, guidance, and support in achieving team goals. Nurture a culture of collaboration, innovation, and continuous improvement within the SRE team. Your team will be responsible for supporting and working on groundbreaking Generative AI inferencing workloads running in a globally distributed heterogeneous environment spanning 60+ edge locations plus all major cloud service providers. Ensure the best possible performance and availability on current and next-generation GPU architectures. Collaborate closely with the service owners, architecture, research, and tools teams at NVIDIA to achieve ideal results for AI problems at hand. Be a part of an on-call rotation while monitoring & supporting critical high-performance, large-scale services running multi-cloud. Communicating and reporting service KPIs, priorities, and issues to leadership while driving premier incident responses. Work closely with security teams to ensure the implementation of security best practices and compliance with relevant standards and regulations. What we need to see: MS or PhD in an engineering or computer science-related field or equivalent experience 8+ overall years of experience operating & owning end-to-end availability and performance of critically meaningful services in a live-site production environment, either as an SRE or Service Owner. 6+ years of technical leadership beyond development that includes scoping, requirements gathering, leading, and influencing multiple teams of engineers on broad development initiatives. Experience leading an engineering team on projects with technical deep dives into cloud technologies (AWS/AZURE/GCP/OCI), code, networking, operating systems, storage etc. Solid understanding of containerization and microservices architecture, K8s. Excellent knowledge of the Kubernetes ecosystem and standard methodologies with K8s. Lead significant production activities, including change management, post-mortem reviews, workflow processes, software design, and delivering software automation in various languages (Python, or Golang) and technologies (CI/CD auto-remediation, alert correlation). Best in understanding SLO/SLIs, error budgeting, KPIs, and configuring for highly complex services. Ways to stand out from the crowd: Exposure to containerization and cloud-based deployments for AI models. Excellent coding: Python, Go (Any similar language). Prior experience driving production issues and helping with on-call support. Understanding of Deep Learning / Machine Learning / AI. Experience with Cuda, PyTorch, TensorRT, TensorFlow, and/or Triton. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us and our engineering teams are growing fast in some of the most impactful fields of our generation: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you. The base salary range is 220,000 USD - 419,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is a Learning Machine NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Cloud and Engineer jobs that are similar:\n\n
$45,000 — $95,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nUS, CA, Santa Clara
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
Remote Solutions Architect Professional Visualization
NVIDIA is seeking an outstanding Solutions Architect to support customers that are building solutions with our latest graphics and visualization technologies. At NVIDIA, our solutions architects work across different teams and enjoy helping customers with innovative software and hardware platforms. We are looking to grow our company and build our teams with the most resourceful people in the world. Would you like to join us at the forefront of technological advancement? You will become a trusted technical advisor with our customers, work on exciting projects, and run proof-of-concepts focused on the latest SDKs and APIs in the NVIDIA portfolio. This role is an excellent opportunity to work in an interdisciplinary team with the latest technologies at NVIDIA! What you will be doing: Working closely with customers to help them build and embrace solutions using NVIDIA technology Partnering with engineering, product, and business teams to understand their strategies and technical needs to help define high-value solutions Engaging with developers, engineers, and end users to gain exposure to a diverse range of experiences Strategically collaborating with major customers and partners targeting our computing platform Some travel may be required for this role, you are empowered to find the best way to support and make our customers successful What we need to see: Undergraduate degree in engineering, media related studies, or equivalent experience Expertise with system administration on both Windows and Linux Proven problem-solving and debugging skills Strong programming skills, Python preferred Excellent presentation, communication, and team building skills 5+ years meaningful work experience Ways to stand out from the crowd: Professional experience with 3D application workflows Experience with CUDA and C/C++ programming Working knowledge of Docker and Kubernetes Hands-on application integration experience, primarily with NVIDIA SDKs such as Maxine, ACE, CloudXR, and RIVA The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is a Learning Machine NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Python, Docker and Travel jobs that are similar:\n\n
$130,000 — $140,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nUS, CA, Remote
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
Remote Senior Solutions Architect Enterprise Grace CPU
We are now looking for an Grace Enterprise Solution Architect! NVIDIA is the engine of modern artificial intelligence and Generative AI, the biggest technology breakthrough of our time. We're on a mission to make AI accessible to all, and we're seeking a passionate Solution Architect to join our cause. As part of our team, you'll dive deep into NVIDIA's Enterprise Platform architecture, the Grace CPUs, all forms of GPUs, NVIDIA-developed networking, and how to put it all together to work with our customers and partners to build something incredible. Your expertise will be crucial in enabling our OEM, CSP and Enterprise partners, ensuring NVIDIA is seamlessly integrated to optimize AI solutions What you'll be doing: Our day-to-day work involves guiding partners and customers in their adoption of systems and software solutions who are keen to build data centers and HPC infrastructure using NVIDIA's compute, networking, and software stacks. Don't think this is a high-level slideshow job - we are the voice of experience, optimizing code and applications on ARM CPUs, using Kubernetes, SaaS, infrastructure-as-code tools, network debugging, and problem solving skills to assist our customers in building modern AI factories. We also excel at sharing knowledge with others, whether it's delivering demos, assisting with proof-of-concepts, or writing papers and developer blogs. By collaborating with executives and engineering, we solve complex problems and help bring NVIDIA's premiere technologies to life in the cloud and in the datacenter. Our mission is to solve the problems that nobody else has solved yet, and we need someone to be an instrumental part of that! Interact with customers and advise on developing software with reliability and performance on ARM and GPU-accelerated servers and workstations Stay updated on the latest NVIDIA ARM architecture, GPU technologies, and GPU programming techniques to incorporate best practices into software development processes Develop customer training materials, including user guides, technical documentation, tutorials, and hands-on exercises, to support field engineers and customers in deploying and utilizing NVIDIA ARM solutions Review customer developed solutions (SW, system architectures, cluster architectures) for ARM-based systems with discrete GPU support, spot areas of improvements and consult with customers and partners on those improvements What we need to see: Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience). Master's degree preferred 5+ years of experience in customer support or engineering support for server CPU, software and Linux operating systems Familiarity with GPU architectures and parallel computing concepts Experience with software development and debugging tools for ARM Strong problem-solving skills and attention to detail Excellent communication and teamwork skills Ways to stand out from the crowd: Good understanding of System Software development under Linux, ARM architecture, strong C/C++ programming skills, and experience with formal methods Experience with GPU programming languages such as CUDA or OpenCL Fortran and MPI experience and or working with the EC2 stack The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is a Learning Machine NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Cloud and Senior jobs that are similar:\n\n
$62,500 — $117,500/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nUS, CA, Santa Clara
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
NVIDIA is looking for outstanding software engineers to work on NVIDIA’s Data Center GPU Manager (DCGM) software. In this role you will work closely with the broader NVIDIA team to design and build Linux-based management agents, CLI tools and end-to-end integration solutions that combine GPUs with the rest of the data center software management ecosystem. We are focused on supporting NVIDIA products across HPC, cloud and enterprise on both bare metal and virtualized platforms as the role of GPUs in all of these environments expands rapidly. Your contributions will span many aspects of GPU system integration, including telemetry and metrics, health checks, diagnostics, configuration, accounting and policy. These tools fill roles of both passive background monitoring and active online management with a core emphasis on operational transparency and seamless integration in customer environments. Your code will support single node developer systems through large clusters with thousands of nodes. To be successful, you will need to have a strong Linux C/C++ background, familiarity with distributed software development, and a proven work ethic. You will be expected to jump in quickly and provide important contributions from day one. This is a dynamic work environment with many exciting opportunities awaiting. NVIDIA GPUs are central to many hot trends in the enterprise, cloud and datacenter. Come join us as we craft the future of accelerated computing and AI! What you'll be doing: Develop robust, scalable C++ user space data center management system software under Linux Build and maintain user-space libraries, agents, plugins, bindings and CLI tools Enable GPU management integration with the OSS ecosystem, including Kubernetes and Docker Support internal and external users through bug fixes, documentation and feature improvements Maintain high quality products through robust test coverage and smart design What we need to see: BS or higher in Computer Science or equivalent experience. 5+ years of meaningful industry experience with a strong C++ development background Familiarity with modern C++ standards (C++17/C++20). User space development and debugging expertise under Linux environments Experience with APIs and interface design. Experience with IPC and Multi-threading Outstanding written and verbal interpersonal skills Strong motivation and commitment to learn new skills Ability to implement all aspects of the software development lifecycle Ability to manage time in a fast, heavily multitasked environment Experience writing unit and system tests to ensure the correctness of fixes and new features Ways to stand out from the crowd: Development experience with Python, Go, and Rust. Experience with Jenkins and GitHub/GitLab CI/CD pipelines. Experience with containers, common orchestration frameworks and common logging/telemetry backends Experience with APIs and interface design. Exposure to GPU programming with CUDA. Experience with enterprise software development. Experience with cross-language interfaces (FFI, swig, etc.) in Go (CGO), Python, and Rust. Experience with metrics gathering/monitoring best practices. Experience with Open Telemetry, Prometheus, Grafana, DataDog, etc. Good understanding of extensive distributed systems and data-center operations/limitations. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you! The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is a Learning Machine NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, Docker, Cloud, Node, Senior and Engineer jobs that are similar:\n\n
$80,000 — $117,500/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nUS, WA, Redmond
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
We are looking for a Solutions Architect to engage with customers, partners, and other NVIDIA software engineers to develop Energy specific applications and platforms that demonstrate NVIDIA technology that will be embraced across all segments of the Energy industry including Oil and Gas, Renewables, and Power Utilities. At NVIDIA, our Solutions Architects are drawn from outstanding developers and scientists who enjoy working with the latest in hardware and software! NVIDIA’s platforms for machine learning, deep learning and high-performance computing have already made a major impact on this industry vertical and are broadly used across leading companies and start-ups. Our success has been based on building a strong developer ecosystem, both with our customers and our broad partner channel of HW EOMs, Cloud Service Providers, Global System Integrators, and VARs. We need a hardworking and creative individual to help us pursue more of these opportunities in HPC, NLP, ML, DL and Generative AI. This role requires becoming a trusted technical advisor and leader in our external engagements, as well as inside NVIDIA: you are to dynamically engage internal developers, scientific researchers, data scientists, IT managers and senior leaders. Continual learning and experimentation are key components of the work, not an option. What you will be doing: Partner with our industry and account teams to develop a keen understanding of customer goals, strategies, and technical needs as well as help to define and deliver high-value solutions meeting these needs. Detail what you know and teach others. This can vary from building targeted samples, to writing whitepapers, blogs, and wiki articles, to simply working through hard problems with a customer on a whiteboard. Be an industry leader with vision on integrating NVIDIA technology into AI, HPC, and enterprise GPU and networking architectures for sophisticated applications both in the datacenter and at the edge. Strategically partner with lighthouse customers and industry-specific solution partners targeting our computing platform. We make heavy use of conferencing tools, but some travel is required for this role. Be empowered to find the best way to get your job done and make our partners and customers successful. What we need to see: MS or PhD in Engineering, Mathematics, Physics, Computer Science or equivalent experience. 8+ years of work-related experience in data science or software development with knowledge of parallel computing with GPUs. Background working with modern application deployment practices including but not limited to Docker/Containers and Kubernetes. Experience with modern Deep Learning software architecture and frameworks. Strong written and oral communication skills with the ability to effectively collaborate with management and engineering. Experience in the energy industry or with customers/partners in the energy domain. Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into sophisticated projects. Strong analytical and problem-solving skills. Ways to stand out from the crowd: Published record of thought leadership in Energy using HPC, Data Science, AI technology Creative generation of synthetic data. Experience using GPGPU programming and design practices. CUDA programming and optimization experience. Experience with AI: research and development in areas like ML, DL, design patterns like RAG. The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is a Learning Machine NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, Travel, Cloud and Senior jobs that are similar:\n\n
$82,500 — $117,500/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nUS, TX, Remote
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
Want to be part of a team that's revolutionizing the field of AI with data center scale solutions? We are looking for a hardworking Solution Architect with experience in designing, building, and maintaining large scale HPC and AI hybrid computing solutions to join our team at NVIDIA. As Solution Architects on the NVIDIA Partner Network team, we are actively helping NVIDIA DGX and DGX SuperPOD solutions bring the benefits of large scale AI to customers through our partners. We work closely with customers and partners to address unsolved problems in the industry and help to deploy and operationalize AI solutions at scale. What you'll be doing: Our day-to-day work involves guiding partners in their adoption of end-to-end Machine Learning and Deep Learning solutions, using NVIDIA's compute, networking, and software stacks. Don't think this is a high-level slideshow job - we are the voice of experience, using Kubernetes, SaaS, infrastructure-as-code tools, network debugging, and problem solving skills to help build modern AI factories. We also excel at sharing knowledge with others, whether it's delivering demos, assisting with proof-of-concepts, or writing papers and developer blogs. By collaborating with executives and engineering, we solve complex problems and help bring NVIDIA's premiere technologies to life in the cloud and in the datacenter. Our mission is to solve the problems that nobody else has solved yet, and we need someone to be an instrumental part of that! What we need to see: Strong foundational expertise and a BS, MS, or PhD in Engineering, Computer Science, or a related field (or equivalent experience). Established track record working with AI and HPC clusters, both on-premises and cloud based. 8+ years of proven experience with cluster management and related tools, including Docker Containers, Slurm, Kubernetes, and Ansible. Hands-on experience with network, storage, cluster configuration and debugging. Strong analytical and problem-solving skills, along with an ability to articulate what you know to others. Ability to multitask efficiently in a dynamic environment. Ways to stand out from the crowd: Strong coding and debugging skills, including experience with Python, C/C++, Bash, and Linux utilities. Demonstrated expertise through projects or Open Source contributions involving GPU workloads, Kubernetes, InfiniBand, Ethernet, or other areas related to high-performance clusters and hybrid cloud solutions. Exhibit hands on experience with NVIDIA AI Enterprise, Base Command Manager and NEMO cloud native framework. Willingness and ability to learn quickly and solve advanced problems. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! The base salary range is 180,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is a Learning Machine NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Docker, Cloud, Senior and Linux jobs that are similar:\n\n
$65,000 — $110,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nUS, CA, Santa Clara
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
NVIDIA is looking for an experienced network and systems infrastructure Solutions Architect. Do you want to be part of a team that brings new Artificial Intelligence (AI) hardware and software technologies to production in the field? We are looking for a compute and networking savvy Solution Architect to join the NVIDIA SA team focused on supporting accelerated computing applications including Deep Learning and Data analytics. As part of the NVIDIA Solution Architecture organization, you will be driving our end-to end technology solutions integration with some of NVIDIA's most strategic technology customers, as well as offering recommendations to business and engineering teams on our product strategy. What you will be doing: Working with NVIDIA Consumer Internet and IT Services customers on data center GPU server and networking infrastructure projects as solution architect. Guide customer journey to server/network/cluster deployments and lead discussions about network topologies, compute/storage etc Identifying new business/project opportunities for NVIDIA products and technology solutions in data center and artificial intelligence applications. Work closely with the Engineering, Product management and Sales teams Conducting regular technical customer meetings for project/product roadmap, feature discussions and introduction to new technology solutions Building custom product demonstrations and POCs for solutions that address critical business needs of our customers Analyzing and solving compute/network performance issues Preparing and delivering technical training presentations and workshops What we need to see: BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience. This role is for an individual with the motivation and skills to drive the technical pre-sales process. 8+ years of Solution Engineering (or similar Sales Engineering roles) experience Advance practical knowledge of Networking - Data Center topologies, routing and switching protocols, and Ethernet/Infiniband System level understanding of server architecture, PCIe devices, NICs, Linux OS and kernel drivers Networking experience, including knowledge of Ethernet, Infiniband or other networking protocols Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center compute/network/storage deployments Effective time management and capable of balancing multiple tasks and ability to communicate your ideas/code clearly through documents, presentation etc Ways to stand out from the crowd: External customer facing skill-set and background Systems engineering, coding, and debugging skills including experience C/C++, Linux kernel and drivers Hands-on experience with NVIDIA systems/SDKs (e.g. CUDA), NVIDIA Networking technologies (e.g., DPU, RoCE, InfiniBand), and/or ARM CPU solutions Familiarity of concepts for virtualization environments Able to think creatively to debug and solve problems We make extensive use of conferencing tools, but occasional travel is required for local on-site visit to customers and industry events. We are open to remote work location and look forward to have you join our team! NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! The base salary range is 176,000 USD - 270,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is a Learning Machine NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Sales and Linux jobs that are similar:\n\n
$35,000 — $70,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nUS, CA, Santa Clara
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
Remote Senior Cloud and Data Center Test Developer Architect
We are seeking a highly skilled and hard-working Senior Test Developer Architect to join our multifaceted Enterprise Software QA team. This role offers an outstanding opportunity to leave your mark on the design, construction, optimization and testing of large-scale infrastructure for various foundational NVIDIA unified cloud services and data center offerings. If you are a dedicated engineer with a deep understanding of cloud infrastructure and distributed systems, and you thrive in an exciting, innovative environment, this could be the flawless role for you. What you'll be doing: Engage with product engineering teams to gain a comprehensive understanding of their infrastructure use cases. Provide mentorship to SWQA teams on effectively testing at scale. Develop end to end test plans that exercise all layers of SW stacks for NVIDIA cloud-based infrastructure Lead NVIDIA Cloud and Data Center bring up activities from SWQA perspective Develop sophisticated tooling to automate the build and deployment of microservices and infrastructure components, improving efficiency and productivity. Reduce manual labor and increase operational efficiency through automation. Supervise the infrastructure to alert on significant events, ensuring the highest level of system performance and reliability. Work closely with partners to understand their infrastructure needs and to ensure our testing encompass their use cases What we need to see: A Master's or Ph.D. in Computer Science or a related field, or equivalent experience. 4+ years of hands-on experience in cluster management and related tools, including Docker Containers, Slurm, Kubernetes, and Ansible. 8+ years strong experience with cloud infrastructure platforms like AWS, Azure, or Google Cloud. Hands-on experience with network, storage, cluster configuration and debugging. High level of proficiency in Infrastructure as Code and Configuration Management tools like Terraform. Expertise in administering, operating, and configuring Kubernetes and Envoy. Proficiency in scripting languages such as Python. Validated experience in Continuous Integration/Continuous Delivery (CI/CD) tools such as Gitlab and Jenkins and the GitOps model. Proficiency in various monitoring tools :Prometheus, Grafana, Cloudwatch, and Thanos. Strong background in cloud security, Kubernetes security, and application security. Proficiency in debugging issues involving networks, DNS, HTTP, Linux, and containers. Strong analytical and problem-solving skills, along with an ability to articulate what you know to others. Ways to Stand Out from the Crowd: A true innovator who isn't afraid to challenge the status quo and bring fresh ideas to the table. You're always looking for ways to improve existing systems and processes. Passion and curiosity about the latest technologies and trends in cloud infrastructure and distributed systems. You're not just familiar with the tools, but you understand the underlying principles and can demonstrate this knowledge to make strategic decisions. Committed to personal and professional growth. You're crafting opportunities to learn new skills and deepen your expertise. Consider joining our team! By joining our team, you will be part of a forward-thinking company that values innovation and creativity. We offer a competitive salary and benefits package, a flexible work environment, and the opportunity to work with some of the industry leading experts. If you're ready to take your career to the next level, we'd love to hear from you. The base salary range is 192,000 USD - 368,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is a Learning Machine NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Docker, Testing, Cloud, Senior and Engineer jobs that are similar:\n\n
$50,000 — $80,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nUS, CA, Santa Clara
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
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