NVIDIA Logo

NVIDIA

Principal Software Engineer, DGX Cloud Production Engineering

Posted 4 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Santa Clara, CA
272K-431K Annually
Expert/Leader
In-Office or Remote
Hiring Remotely in Santa Clara, CA
272K-431K Annually
Expert/Leader
Lead architecture and development of production-grade Kubernetes platform capabilities: cluster management, control plane services, fleet lifecycle, provisioning, upgrades, remediation, and automation. Drive technical strategy, cross-team execution, operational reliability, and mentor senior engineers to improve scalability and operability for large-scale AI deployments.
The summary above was generated by AI

NVIDIA is seeking a principal-level software engineer to build the next generation of our Kubernetes platform. Our teams build foundational capabilities for self-service GPU infrastructure, managed Kubernetes control planes, management of cluster operations, and automation for large-scale AI and improved computational environments.

In this role, you will work at the intersection of platform architecture and production-grade Kubernetes lifecycle systems. You will lead technical strategy and execution for systems that make clusters easier to provision, upgrade, operate, and scale across cloud and on-premises environments.

What you will be doing:

  • 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 the 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.

What we need to see:

  • 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.

Ways to stand out from the crowd:

  • Experience building Kubernetes platforms or managed Kubernetes services.

  • Expertise 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.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: GPU, Cloud, Cloud Development or Distributed Cloud. If you're a creative Principal Software Engineer who enjoys autonomy and shares our passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 15, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Similar Jobs

11 Days Ago
In-Office or Remote
272K-431K Annually
Expert/Leader
272K-431K Annually
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Lead the technical direction for production engineering in NVIDIA DGX Cloud, focusing on Kubernetes operations, automation, and reliability for GPU clusters.
Top Skills: Ai/Ml InfrastructureGitopsGoInfrastructure AutomationKubernetesLinuxPython
42 Minutes Ago
In-Office or Remote
146K-230K Annually
Senior level
146K-230K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead a global onboarding team for Atlassian's Teamwork Collection, driving early customer outcomes in the first 60–90 days through change management, success planning, technical guidance, risk mitigation, scaling onboarding programs, and cross-functional collaboration while maintaining operational excellence in Gainsight.
Top Skills: ConfluenceGainsightJIRASalesforceSuccess-AiTableau
43 Minutes Ago
In-Office or Remote
149K-235K Annually
Senior level
149K-235K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Senior full-stack engineer who builds backend-heavy features and customer-facing React UIs. Own end-to-end delivery: design, implement, test, monitor, and iterate on scalable RESTful microservices using raw SQL and cloud patterns. Collaborate with product and design, review code, ensure reliability, security, and data correctness.
Top Skills: AWSDynamoDBGoJavaJavaScriptKotlinMicroservicesNode.jsPostgresPythonReactRest ApisRuby On RailsScalaSQLTailwindcssTypescript

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account