Senior Software Engineer, DGX Cloud Production Engineering

NVIDIA is a technology company developing GPU, cloud, and distributed computing technologies. The Senior Software Engineer will build foundational Kubernetes platform capabilities for self-service GPU infrastructure, managed control planes, cluster lifecycle management, and large-scale AI deployments. The role focuses on designing reliable distributed systems and APIs, defining platform automation practices, and resolving complex infrastructure and operations issues.

Responsibilities:

• Collaborate with 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
• Collaborate to diagnosis and find a resolution of complex platform issues spanning infrastructure, runtime, networking, hardware, and operations, improving the scalability, resilience, and operability of systems supporting large-scale AI deployments

Requirements:

• BS or MS degree in Computer Science, Computer Engineering, or a related field, or equivalent experience
• 5+ 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
• Background in building Kubernetes platforms or managed Kubernetes services
• Experience in fleet management, cluster upgrades, node lifecycle, remediation, or day-2 operations
• Experience with declarative infrastructure, Kubernetes controllers, GitOps, or policy-driven platform automation
• Familiarity with both public-cloud and bare-metal infrastructure environments
• Experience supporting AI, GPU, HPC, or other large-scale accelerated computing platforms