NVIDIA is seeking experienced software engineers to join the DGX Cloud team, focusing on scaling AI infrastructure. The role involves working with Kubernetes to manage GPU resources and ensure the reliability and performance of production AI clusters. Candidates should be innovative thinkers who thrive in a challenging environment. The position offers the opportunity to contribute to cutting-edge AI workloads and infrastructure solutions.

• 15+ years of experience in a software engineering role within a highly technical organization.
• Demonstrable impact from previous work in software development with Kubernetes APIs and frameworks.
• A BS in Computer Science, Engineering, Physics, Mathematics, or a comparable degree or equivalent experience.
• Technical knowledge in systems programming languages such as Go or Python.
• Strong communication skills and the ability to work effectively with multi-functional teams.

• Be part of a team responsible for production systems enabling large scalable GPU clusters for AI workloads.
• Implement monitoring and health management capabilities for GPU assets to ensure reliability and scalability.
• Collaborate with teams across NVIDIA to maintain consistent performance of production AI clusters.
• Evaluate system failures and improve services based on a defined incident management process.
• Work on custom software related to scheduling GPU resources on Kubernetes.

• 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.