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

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