NVIDIA is seeking experienced software engineers with a strong background in Kubernetes to enhance its AI Infrastructure. The role involves working within the DGX Cloud team to manage large scalable GPU clusters for various AI workloads. Candidates should be innovative thinkers who can contribute to the development of custom software for GPU resource scheduling and monitoring. This position offers the opportunity to work on cutting-edge technology in a dynamic and collaborative environment.

• 5+ years of experience in a software engineering role within a highly technical organization.
• Experience with Kubernetes APIs and frameworks, not just operating a cluster.
• A BS in Computer Science, Engineering, Physics, Mathematics or a comparable degree or equivalent experience.
• Technical knowledge in a systems programming language such as Go or Python.
• Strong communication skills and the ability to work effectively with multi-functional teams.

• Develop custom software related to scheduling GPU resources on Kubernetes.
• Implement monitoring and health management capabilities for GPU assets.
• Collaborate with teams across NVIDIA to ensure reliable and high-performance production AI clusters.
• Evaluate system failures and improve services based on a well-defined incident management process.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.