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Principal Software Engineer, DGX Cloud Production Engineering

NVIDIA· Engineer, Sys SW
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Hybrid (Remote / US (Santa Clara on-site as needed))$272k - $431.3kfull-timePosted 2mo ago

About the role

Principal-level software engineer to build and operate the Kubernetes platform for DGX Cloud, leading architecture, development, and production-readiness of cluster provisioning, lifecycle management, and day-2 operations across cloud and on-prem environments.

Responsibilities

  • 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, improving scalability, resilience, and operability of systems supporting large-scale AI deployments.
  • 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.

Qualifications

  • 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.
  • 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.

Skills

Required:Kubernetes internalsDistributed systems designPlatform software / infrastructure control planesGo / Python / Rust / C++

Benefits

  • equity
  • benefits package (as described)
Last updated Aug 14, 2026. Interested? Apply on the company site.

About NVIDIA

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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