
10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
🕒 July 25
🏄 California, Illinois, +4 more states – Remote
💵 $184k - $356.5k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 15%
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10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
• Support multiple software projects in the data science and AI domain, including open-source projects such as RAPIDS • Manage cutting-edge hardware and help inform purchasing decisions for the team • Collaborate with build engineers, developers, and management to deliver high-quality software • Develop and modernize packages, including streamlined Python wheels, for RAPIDS data science libraries • Design and maintain container build processes • Implement DevOps best practices hands-on with engineering teams • Execute DevOps initiatives covering CI/CD, observability, security/legal compliance, and SysAdmin tasks • Operate and maintain infrastructure and development processes • Support and grow the RAPIDS project • Ensure high-quality releases of CUDA/C++ and Python libraries and containers
• Bachelor of Science in Computer Engineering, Computer Science or related technical field or equivalent experience • 8+ years of technical experience primarily related to DevOps • Proven experience in programming and automation with scripting languages (Bash and Python preferred) • Experience with Conda and/or PyPI packaging, especially building and publishing • Experience with container technologies such as Docker, especially building and publishing • Detail-oriented and comfortable supporting and prioritizing amongst multiple teams • Experience with administration, optimization, and troubleshooting of CI/CD and related tools, including Jenkins, Git, and GitHub Actions • Experience with cloud services such as AWS and Azure, especially permissions, budget, and cost management • Linux system administration experience; Ubuntu strongly preferred • Background with NVIDIA’s technology stack, including CUDA toolkit and drivers • Experience in software development, build, and/or related DevOps • Experience with GitHub operations, including user, repository, and organization management and permissions • Prior work with open-source development and community building on GitHub • Strong verbal and written communication skills
• Competitive salaries • Generous benefits package • Equity
Apply Now🕒 July 25
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