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’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we’re advancing AI in a diverse, supportive environment where you can contribute ideas, develop your skills, and make an impact.
Run:ai, now part of NVIDIA, is looking for a Senior Software Engineer to build infrastructure that helps AI workloads start faster and run efficiently at scale. You’ll work with Python, Go, Kubernetes, and distributed systems, and help lead an open-source project.
What you’ll be doing:- Develop scalable services, APIs, and libraries for managing and loading AI models and data.
- Integrate cloud infrastructure, storage, and AI frameworks in Kubernetes environments.
- Help guide an open-source project’s technical direction, review contributions, and coordinate releases with the community.
- Deliver features from design through production, improving performance and reliability through testing, monitoring, and benchmarking.
- Collaborate with engineers and product managers, contribute to technical decisions, and share knowledge.
- A relevant degree or equivalent practical experience.
- At least 5 years of experience developing backend services, infrastructure, or developer tools.
- Proficiency in Python, Go, or another relevant language, with a willingness to learn new technologies.
- Hands-on experience with Kubernetes, containers, and Linux.
- Understanding of distributed systems and infrastructure fundamentals, including compute, networking, and storage.
- Experience delivering and supporting reliable production software.
- Regular use of AI tools for design, coding, testing, and debugging, with careful evaluation of generated outputs for correctness, security, and maintainability.
- Ability to investigate problems, explain technical tradeoffs, and collaborate across teams.
- Experience with AI model loading, inference, or frameworks such as PyTorch, vLLM, or SGLang.
- Experience with cloud storage, caching, or performance optimization.
- Experience maintaining open-source projects or developing libraries and SDKs for other engineers.
- Familiarity with C++ or GPU computing.
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!
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.
Skills Required
- Relevant degree or equivalent practical experience
- At least 5 years of experience developing backend services, infrastructure, or developer tools
- Proficiency in Python, Go, or another relevant programming language
- Hands-on experience with Kubernetes, containers, and Linux
- Understanding of distributed systems and infrastructure fundamentals, including compute, networking, and storage
- Experience delivering and supporting reliable production software
- Regular use of AI tools for design, coding, testing, and debugging, with careful evaluation of outputs
- Ability to investigate problems, explain technical tradeoffs, and collaborate across teams
- Experience with AI model loading, inference, or frameworks such as PyTorch, vLLM, or SGLang
- Experience with cloud storage, caching, or performance optimization
- Experience maintaining open-source projects or developing libraries and SDKs
- Familiarity with C++ or GPU computing
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. 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, NVIDIA is increasingly known as “the AI computing company.”
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