Senior Software Engineer, AI Infrastructure

Role details

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. What we need to see: 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. Ways to stand out from the crowd: 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.