\nMatterport seeks an enthusiastic Sr. Manager of ML Production Engineer to join our Vision & Learning team. You’ll be responsible for leading and managing the ML Production Engineering function and engineering team responsible for Matterport’s 3D reconstruction pipeline. The ideal candidate is an individual who thrives in dynamic environments orchestrating high talent engineers to optimize ML Ops and Dev Ops for new and existing capabilities. You will collaborate with machine learning engineers and data scientists to design and implement efficient and scalable machine learning pipelines, monitoring and testing frameworks, and data management processes. You will work with software engineers to ensure the seamless integration of machine learning models into our applications and services.  This position will report to the Software Vice President for Vision & Learning.   \n\n\n\nWhat you will do:\n* Bring technical experience & leadership to critical systems including Cloud Architecture, Machine Learning Operations, back-end Software Engineering, and Distributed Systems.\n* Work cross-functionally to establish product definition and design as new capabilities are brought from development into production.\n* Lead and manage cross-functional engineering projects with multiple stakeholders, with regular reporting to executive stakeholders.\n* Lead by example as a working manager with strong hands-on engineering fundamentals.\n* Work closely with internal and contracted data providers in development of dataset for training production networks as well as development networks.\n* Lead and manage senior engineers empathically; maximizing high talent individuals in dynamic product environments.\n* Work with cross-functional teams across Product, Sales, Customer Success and Business Development\n* Advocate for new technical architecture and innovation \n* Implement and refine development and cross-functional processes\n* Hire, mentor, lead, and coach senior and principal engineers to meet their full potential\n* Act as a leader for implementing best-practices across the organization\n\n\n\n Who you bring:\n* Master’s degree in Computer Science, Electrical Engineering, or related field, or equivalent experience.\n* 5-8+ years of experience in software engineering, Dev Ops & ML Ops, or related fields.\n* Strong proficiency in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, MMdetection, Detectron and, Pytorch Lightning.\n* Strong knowledge of machine learning pipelines and workflows for training, validation, and deployment of models, e.g. Experience with containerization and orchestration tools such as Docker, Kubernetes, Kubeflow, MLFlow.\n* Strong experience with AWS cloud services\n* Strong knowledge of data management processes for large-scale machine learning datasets.\n* Experience with DevOps and Infrastructure as Code (IaC) tools such as Terraform, Ansible, or CloudFormation.\n* Strong knowledge of software engineering best practices, including version control, testing, and deployment.\n* Experience with model quantization, distillation or other compression techniques.\n* Excellent communication and collaboration skills.\n\n\n\nNice to Have:\n* Master's degree or PhD in Computer Science, or related field\n* Strong knowledge of C++\n* Experience with 3D graphics, computer vision, point clouds, or spatial data\n* Experience with data streaming and real-time processing frameworks such as Kafka\n* Experience with ML dataset management tooling, such as Activeloop Deeplake.\n* Experience with database technologies such as PostgreSQL, MySQL, or MongoDB.\n* Experience with big data technologies such as Snowflake, Spark, or Hive.\n* Experience with model interpretability and explainability techniques.\n* Experience with building and deploying machine learning models on edge devices or IoT devices\n\n\nWe want to hear from you! We are looking to build the best team of people who will be empowered to do their best work. If you have what it takes, but don’t necessarily meet every bullet in the job description we encourage you to apply.\n\nThe US base salary range for this full-time position is $160,000 to $294,100 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.\n\nPerks & Benefits\n* Comprehensive health plans* – 100% of premiums covered for employees & 88% of dependent premiums for US employees\n* Flexible Time Off for Exempt Employees/Generous PTO plan for Non-Exempt Employees – Take time to rest, relax and explore! Plus we offer Summer Fridays!\n* 401k,  Company ownership in the form of RSU’s & ESPP Program\n* Medical and retirement benefits vary by Country \n* For more detail visit www.matterport.com/careers \n\n\n\n\n\n\nBelief in Diversity\n\n\nAt Matterport, we don’t just accept differences, we celebrate them and recognize the value they bring to our customers and employees. Matterport is proud to be an equal opportunity workplace and works to create and support diversity at Matterport. Equal opportunity and consideration are afforded to all qualified applicants and employees. We won’t unlawfully discriminate on the basis of gender, identity or expression, race, ethnicity, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, sexual orientation, and any other category protected by law. We are committed to providing employees with a work environment that provides a sense of inclusion and belonging and is free of discrimination and harassment. We also consider all qualified candidates regardless of criminal histories, consistent with legal requirements.\n\n\nMatterport is likewise committed to working with and providing reasonable accommodation to all qualified applicants and employees with disabilities in accordance with the American Disabilities Act\n\n\nFor more information regarding how Matterport collects and uses personal information, please review our Privacy Policies. https://matterport.com/privacy-policy\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Testing, DevOps, Education, 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\nUnited States

\nQ Bio is building technology for the Physical of the Future that measures more, faster and cheaper about the human body, to enable proactive primary care for all. We're revolutionizing primary care with the first clinical digital twin platform, powered by breakthrough whole-body scanning technology, that highlights the most important changes in a person’s physiology for sharing with physicians and specialists anywhere in the world. \n\n\nJoin us!\n\n\nQ Bio’s clinical digital twin platform, Gemini, is the first to capture and monitor comprehensive baseline patient health in a scalable virtual model. The Gemini Dashboard highlights the most important chemical and anatomical changes in an individual weighted by an individual’s lifestyle, genetic and medical history, that can be securely shared with physicians and specialists all over the world.\n\n\nGemini is powered by the fastest, most accessible, whole body scanner developed: the Mark I. Self-driving and optimized for primary care, the Mark I can complete a whole-body scan in 15 minutes or less in an open space, without radiation, breath holds, or claustrophobia. Patient comfort is maximized with the option to sit, stand, or lie down, and real-time telemetry is displayed throughout.\n\n\nWhy should you consider a career with Q Bio? \n\n\nWe dream big. Our team is aligned and excited about the opportunity to save lives and understand the human body like never before. We know how critical empowering and supportive leadership is, both to our excellence as a company, and for our team experience as a whole, and our leadership team will empower and support career growth. We’re a team of engineers, scientists, and operators who come from a diverse background of disciplines and experiences. We value teamwork, growth, determination and persistence, commitment to collaboration, and a reliance on staying nimble while keeping the big picture in mind. \n\n\nAs Senior Software Engineer on User Apps, you will be responsible for building our next generation consumer facing web applications, and take charge of improving the design system, component library and all frontend-related tooling. You’ll be working directly with our scanner and Digital Twin platform, producing APIs and services that visualize 3D human body and biomarkers from the genome and biological systems data to enhance patient and developer experiences.\n\n\n\nQualifications\n* Degree in computer science or related field, or equivalent work experience\n* 5+ years of professional software engineering experience developing full-stack commercial web applications\n* Expert in Javascript/Typescript, HTML, CSS, and modern web frameworks (React, Angular, Ember, etc) \n* Detail-oriented and good Craftsmanship. Understands usability and accessibility principles. Can translate design into functional, user-friendly and high performing interfaces\n* Proficient in Python and/or other OOP languages, and RESTful API frameworks such as Flask/DjangoFamiliar with cloud-native applications, microservices, event sourcing, relational and non-relational databases (mysql, redis, etc.)\n* Familiar with building and deploying applications on cloud services like AWS, Azure, GCP\n* Excellent communication and teamwork skills\n* Thrives in a fast-paced, collaborative environment involving different stakeholders and subject matter experts\n\n\n\nNice to Have\n* Prior experience in building complex, data-intensive web applications, using modern web frontend and backend technologies \n* Experience with data visualization libraries such as D3, three.js\n* Experience with design systems, building UI component libraries\n\n\n\n\n\nIn the San Francisco Bay Area, the standard pay range for this role is $160,000-$190,000 annualized. This pay range is for the San Francisco Bay Area and is not applicable to locations outside of this location or for remote roles. Actual amounts will vary depending on experience, performance, and work location. In addition to a competitive base salary, we offer significant equity and an employee-friendly stock option plan. Employees will also be eligible to participate in benefits plans available to other similarly situated employees subject to any eligibility requirements imposed by such plans.\n\n\nQ Bio was founded in 2015 by serial entrepreneur Jeffrey Kaditz, Dr. Michael Snyder, Chair of Genetics and Director of Personalized Medicine at Stanford University, and Dr. Garry Choy, physician, radiologist, and former Chief Medical Information Officer at Mass General Hospital. Q Bio has raised over $80M from world class investors including Andreessen Horowitz, Kaiser Foundation Hospitals, Khosla Ventures, Founders Fund, SciFi VC, and many more.\n\n\nQ Bio is an Equal Opportunity Employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.\n\n \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, API, Senior, Engineer and Backend jobs that are similar:\n\n $70,000 — $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\nSan Carlos

\nWho are we?\n\n\nMeshcapade is the 3D digital human company. We are creating realistic human avatars for use in apparel, games, fitness, AI, and augmented reality. Using machine learning and computer vision, we model the nuances of human body shape and movement. We automatically convert photos, 3D & 4D scans, RGB-D sequences, Mocap and even words into realistic 3D humans. We are a spin-off from the Max Planck Institute for Intelligent Systems in Tübingen, Germany and our products are powered by state of the art, patented research. Our core product, Meshcapade Me, is an online platform for the creation, animation, and use of 3D digital humans. Our clients run the gamut of global names; a broad mix of tech, media, health and fitness, apparel, and education.\n\n\nWe are looking for a highly experienced back-end engineer to join our team. You will be responsible for the server-side web application logic as well as for the maintenance and seamless integration of the front-end. The successful candidate will be able to demonstrate a track record of outstanding backend development experience. We are a small startup and every member of our team is expected to pitch in where necessary, up to and beyond the edges of their wheelhouse. We're looking for someone who will speak their mind with the confidence which experience brings.\n\n\n\nWhat you will be doing:\n* Develop and maintain core pipeline applications, APIs and services\n* Build infrastructure and interfaces that are maintainable, flexible and scalable\n* Communicate with frontend engineers about API requirements and refinements\n\n\n\nWho you are:\n* Good knowledge of Go and/or Python as well as proficiency in Linux\n* Experience of working with AWS infrastructure\n* Good experience of Linux Containers and Docker\n* Experience with version control, CI/CD and testing frameworks\n* Excellent understanding of software architecture and build tools\n* Great communication and team working skills\n* Excellent problem solving and troubleshooting abilities\n* BSc in Computer Science or Engineering, or equivalent industry experience\n\nBonus Skills \n* Good knowledge of Python and Rust\n* A background in a DevOps role would be an advantage\n* Experience with web technologies including REST, HTML 5 and CSS\n* Experience in Machine Learning frameworks such as TensorFlow or PyTorch\n* Experience with 3D animation applications\n\n\n\nTalent Acquisition Process:\n* Interview with our Talent Acquisition team;\n* Interview with the Engineering team members;\n* Technical Assessment;\n* Debrief and interview with stakeholders;\n* Meeting with our CEO\n\n\n\nWhat we offer:\n* A competitive compensation package;\n* Full remote working support;\n* An entrepreneurial team passionate about creating the technology to power the world's avatars;\n* Opportunity to work with an internationally diverse team;\n* Great perks (autonomy, flexible working hours, hardware budget, co-working space allowance and team events).\n\n\n\n\n\n\nDiversity isn’t just a statement at Meshcapade, it sits at the core of the company.\n\n\nWe believe in the diversity of thought because we appreciate that this makes us stronger. Therefore, we encourage applications from everyone who can offer their unique experience to our collective achievements. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Testing, DevOps, HTML, API, Engineer, Linux and Backend jobs that are similar:\n\n $52,500 — $107,500/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\nTübingen

Waabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem.\n\nWith offices in Toronto and San Francisco, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai\n\nYou will...\n- Build the self-driving engineering foundations of our long-term mapping infrastructure. \n- Be part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale.\n- Identify requirements, schedule and deploy projects for the next generation technologies for self-driving initiatives.\n- Build and automate global-scale maps.\n- Utilize Human-in-the-loop ML methods to automate map building; custom labeling, data annotation tools.\n- Apply state-of-the-art machine learning and computer vision techniques to extract information from raw data.\n- Develop, maintain and improve map change detection and map updates.\n- Engineer real-time scalable, highly-available map serving for a fleet of self-driving vehicles.\n- Integrate with simulation autonomy software.\n\nQualifications:\n- Minimum of 4 years of industry experience in Computer Science, Machine Learning and/or similar technical field(s) of study.\n- Solid coding proficiency in Python and C++.\n- Some experience in reading and developing production quality software, versus only creating prototypes/proof of concepts.\n- Open-minded and collaborative team player with the willingness to help others.\n- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. \n- Experience with cloud platforms (e.g., AWS/Azure/Google Cloud).\n\nBonus/nice to have:\n- Interest working in a Machine Learning environment (e.g., PyTorch, PyTorch3D, scikit-learn).\n- Solid problem solving skills using linear algebra, geometry, statistics & probability.\n- Interest and experience with geospatial systems (QGIS, ArcGIS) and 3D geometry.\n- Experience working on infrastructure cloud platforms (e.g., AWS, GCP).\n- Experience with large-scale data processing systems (e.g., Apache Spark, Airflow).\n- Experience with Deep learning frameworks such as PyTorch and TensorFlow.\n- Experience with automated testing.\n- Experience working in an Agile/Scrum environment.\n\nPerks/Benefits:\n- Competitive compensation and equity awards.\n- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).\n- Unlimited Vacation.\n- Flexible hours and Work from Home support.\n- Daily drinks, snacks and catered meals (when in office).\n- Regularly scheduled team building activities and social events both on-site, off-site & virtually.\n- As we grow, this list continues to evolve! \n\nWaabi is an equal opportunity employer that celebrates diversity and is committed to creating a supportive, inclusive, and accessible environment for all employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Cloud, Python, Senior, Engineer and Apache jobs that are similar:\n\n $80,000 — $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\nToronto, CAN, San Francisco, CA & Remote - US & Canada

About Paperspace\n\nPaperspace is a cloud computing company creating simple and scalable accelerated computing applications. Our goal is to allow individuals and professional teams to build applications with ease -  from Machine Learning to 3D graphics.\n\nPaperspace is backed by leading investors including Y Combinator, Initialized Capital, Battery Ventures, and Intel Capital.\n\nOur Team \n\nPaperspace values technical excellence in an open and inclusive environment. The team is primarily based in NYC, but we have a strong remote/hybrid team. Communication is paramount and mutual respect is at the core of our collaborative work environment. We are also committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe creating a more diverse team directly impacts our ability to collaborate effectively, build a better community, and produce better products.\n\nAbout the role\n\nThe Cloud Platform team is responsible for the infrastructure and services that make up Paperspace’s cloud. The team manages our hardware infrastructure, internal networks, and user-facing products such as shared file system service, object store, managed Kubernetes, VPCs, and compute. The team’s goal is to provide a reliable and scalable platform so that both users and Paperspace can run their applications easily and reliably.\n \nAs a Staff Engineer, you’ll contribute your technical leadership and expertise to release and maintain high-quality products at Paperspace. In collaboration with fellow engineers, product managers, and designers, you’ll be working on hard problems that will greatly impact the business. In addition, you will work to maintain and shape engineering standards through mentorship, cross-team collaboration, and leading by example.\n\nWhat we're looking for\n\n• 8+ years relevant industry experience in a fast-paced, high growth tech environment building and scaling infrastructure using engineering practices with languages such as Python or Go\n• Fluency in working with config management tools (Ansible, Salt, Puppet, Chef) and infrastructure management tools (Terraform or Pulumi) to support immutable infrastructure\n• Experience with metric-driven monitoring and alerting using Prometheus or another monitoring system\n• Experience with networking and large-scaled storage architectures\n• Familiarity with Kubernetes automation, monitoring, stability, and security including tools like helm and customize\n• Experience shipping high-quality products from planning to launch to maintenance\n• Proven experience collaborating across teams ranging from platform and infrastructure to product and marketing\n• Ability to make trade-offs effectively in regards to both engineering and product requirements, while also effectively balancing short term and long term needs\n\nWhat you'll be doing\n\n• Be a leader in the areas of reliability, scalability, developer experience, and system observability on the Cloud Platform team\n• Architect and consult on infrastructure needs to move products forward with a focus on reliability, scalability, and observability\n• Automate all parts of our internal and user-facing infrastructure and systems to minimize manual intervention and to create clear, sustainable team run processes\n• Work with fellow engineers to find ways to address their infrastructure needs and provide self-service tools to empower them\n• Manage and improve our Ceph based storage system across multiple regions\n• Automating and maintain our software-defined network products and ensure reliability\n• Facilitate a sustainable software delivery process using tests, code reviews, and best practices\n• Build relationships with engineers and mentor on productivity and best practices from a technical perspective\n• Working with other teams to find a well-balanced implementation for products\n\nWhat to expect\n\nIn your first month, you will be hitting the ground running as you join the Engineering Team. You’ll be learning about our engineering workflows, technical architecture, and current product/business initiatives. In parallel, you’ll be making small to moderate code changes, engaging in the code review process, and developing relationships with your immediate team and other teams. As you develop a mental model of the product, technical architecture, and business, you will start to steward engineering initiatives that can positively impact the product and across the organization.\n\nIn subsequent months, you will be an active technical leader committing large features to the code base, managing releases, and driving the product and business forward in your area. You will also be facilitating the sustainable delivery of high-quality code with your team and are actively working on initiatives to help elevate the engineering organization as a whole.\n\nWho you’ll be working with\n\nPhilip Reichenberger - VP of Engineering\nPhilip is responsible for the health of the engineering organization at Paperspace. He works to ensure a healthy balance of velocity and quality while empowering teams to be full owners of the products they build. Before Paperspace, he led Web Operations at Shutterstock to a successful IPO, led engineering at Server Stack (now Digital Ocean), and founded a few startups in ad tech, e-commerce, hospitality, and wireless technologies. While not at work, he is on the water rower, playing guitar, or playing board games.\n\nBenefits\n\n• Multiple health care insurance options with premium plans in addition to vision and dental insurance plans\n• 401(k) Plan with employer matching\n• Commuter benefits with a contribution from the company \n• Responsible Time Off Policy \n• Generous and flexible parental leave\n• Fitness & wellness benefit\n• Remote friendly and hybrid office environment for New York team members\n\nWe are an equal opportunity employer that values and welcomes diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.\n\n#LI-Remote \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Cloud, Engineer, Developer, Digital Nomad and Python 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\nNew York City

We value well-tested, reusable designs and expect our engineers to be as good of practitioners as they are leaders and teachers.  \n\nAbout This Role \n\nVery is a remote-first company, meaning we don’t have a physical office, and you can work from anywhere in the continental United States. Whether you feel like moving or not, you don’t have to change jobs. As a Senior Hardware Integrations Engineer, you will work with our Hardware Practice Lead and other hardware engineers to deliver high-value electro-mechanical system designs to our clients.  Our goal is to rethink and retool the hardware engineering process to align it with modern software, design and data science development methods (we’re already making headway thanks to an awesome framework called Nerves). For this role we’re looking for polymath engineers who are just as comfortable working in MCAD as they are with ECAD. Some of the traits we are looking for include: \nPrevious experience designing electro-mechanical systems (3+ years)\nKnowledge of Design for Manufacturing (DFM) practices for electrical and mechanical\nFamiliarity with:\n *Microprocessors, microcontrollers, IoT communications protocols, and common sensors\n *Hardware prototyping tools (3D printers, soldering, oscilloscopes, electronic loads, etc)\n *Low-level embedded firmware and/or embedded Linux\n *Data collection techniques  \n\nWhat You’ll Be Working On \n\nVery has been a remote company since before it became normal — 2011, to be exact. We’ve built a collaborative, tight-knit team that thrives, whether we’re hanging out in person at our annual retreat or coordinating work across time zones. The results show that we’re doing something right. In 2020, we were named one of Inc’s Best Workplaces, Parity.org's Best Companies for Women to Advance List, and Fatherly’s Best Places to Work for Dads. Clients like Vizio, Clear, iHeartRadio, Complex Media, Shopkeep, and more come to us for answers to their thorniest questions. We bring them a world-class product team that delivers end-to-end IoT solutions. \n\nThe Hardware Integrations Engineer plays a key role in our multidisciplinary Agile development practice. Your responsibilities will include: \n\n * Driving our Agile practice through continuous pairing and idea generation with our team of Mechanical and Electrical engineers\n* Providing review and feedback of electrical schematics and board layouts, as well as CAD designs and 2D mechanical drawings\n * High-cadence rapid prototyping in order to build, test and break hardware early and often in the design cycle\n * Helping to develop an automated integration toolset to improve the speed at which Mechanical and Electrical changes can be reviewed and merged into the design\n * Interacting with clients and turning their vision into functional, manufacturable hardware\n * Owning the path to manufacturing on your programs by interacting with manufacturers, suppliers, and compliance testing labs on behalf of the client\n\nThe ideal candidate should have some mix of experience with the following:\n\n* Microprocessors and microcontrollers\n* Sensors\n* Soldering\n* Oscilloscopes, electronic loads, and other electronic test equipment\n* Electro-mechanical integration and assembly\n* Designing for and operating 3D printers\n* Electrical and mechanical design for manufacturing\n* Injection molding\n* IoT devices\n\nIn short, you'll spend your time ensuring that the hardware systems we ship for our clients meet the high quality level associated with the Very brand.\n\nOur Current Tooling \n\nOur IoT contracts usually involve a full service hardware and software solution. To bring the hardware from concept to reality we often use the following tools/languages: \n \n* KiCAD\n * Onshape\n * Voltera PCB Printer\n * FFF and SLA printers\n * Embedded C/C++\n * PlatformIO for embedded C/C++ projects\n * Python for scripting and build automation.\n * Github \n\nYou don't need to be an expert in all these tools, but, since you’ll be using them to prototype and test, familiarity is a plus.  Our multidisciplinary build teams are tight knit, and you will certainly encounter these stacks throughout your time here.\n\nRequired Qualifications \n\nUnfortunately, applicants who do not meet these criteria will not be considered.\n * BS or higher in a related engineering field (Electrical Engineering, Mechanical Engineering, etc)\n * 3+ years of relevant experience\n * Primary residence in the continental US (to facilitate overnight shipping to our clients and the majority of our team). \n\nHow You’ll Be Compensated \n\nDon't have your own lab equipment? Don't worry! Very is willing to help get you up and running. We’ll get you everything you need to set up a home lab and be effective in your role. This includes rapid prototyping tools, electrical test equipment, and the supplies needed to quickly build and test electro-mechanical prototypes. We believe in a transparent, fair compensation structure and have developed our own open salary formula. Depending on your skill and experience, you can expect your base compensation to be somewhere between $75,000 and $105,000 upon joining the company. We also offer performance bonuses, a generous maternity/paternity leave policy, 401K matching, and numerous other employee benefits including reimbursement for home office equipment.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Quality Assurance, Senior, Engineer, Full Stack and Python jobs that are similar:\n\n $70,000 — $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