NVIDIA is looking for a principal-level software engineer to enhance its Kubernetes platform, focusing on self-service GPU infrastructure and managed Kubernetes control planes. The role involves leading technical strategy and execution to simplify cluster management across various environments. The engineer will work on building reliable distributed systems and APIs for Kubernetes cluster operations. This position requires collaboration with engineering teams to ensure cohesive platform experiences and improve system scalability and resilience.

• BS or MS degree in Computer Science, Computer Engineering, or a related field, or equivalent experience.
• 15+ years of relevant software engineering experience, including experience building and operating large-scale production systems.
• Deep expertise in Kubernetes internals, APIs, controllers or operators, and cluster lifecycle management.
• A strong background in distributed systems design, reliability, scalability, and failure recovery.
• Proven experience building platform software, infrastructure control planes, or foundations for managed services.
• Strong programming skills in one or more systems or cloud-native languages, such as Go, Python, Rust, or C++.
• Experience designing clear APIs and abstractions for platform consumers and engineering teams.
• Demonstrated ability to provide technical leadership across team boundaries and drive ambiguous, cross-functional initiatives to completion.
• Excellent communication and collaboration skills, backed by a sustained record of significant technical contributions and recognized expertise influencing department-level architecture and high-priority company initiatives.

• Lead the architecture and development of core Kubernetes platform capabilities, including cluster management, control plane services, fleet lifecycle, and day-2 operations.
• Design and build highly reliable distributed systems and APIs for provisioning, managing, upgrading, and remediating Kubernetes clusters at scale.
• Define technical requirements, validation criteria, production-readiness practices, and the direction for declarative workflows and automation across the Kubernetes stack.
• Collaborate across engineering teams to create cohesive platform experiences spanning management APIs, lifecycle orchestration, runtime integration, and fleet consistency.
• Lead the diagnosis and resolution of complex platform issues spanning infrastructure, runtime, networking, hardware, and operations.
• Influence engineering standards, architectural decisions, and long-term platform strategy.
• Mentor senior engineers and raise the bar for design quality, execution, and engineering rigor across the organization.

• 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.