> Markdown version of [/jobs/ext/2035674-principal-software-engineer-dgx-cloud-production-engineering](https://www.wearedevelopers.com/jobs/ext/2035674-principal-software-engineer-dgx-cloud-production-engineering). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Software Engineer, DGX Cloud Production Engineering - **Company:** NVIDIA Ltd. - **Location:** Santa Clara, CA, United States - **Salary:** $272,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Computing Platforms, C++ (Programming Language), Cloud Computing, Cloud Engineering, Computer Programming, Computer Engineering, Distributed Systems, Python (Programming Language), Software Architecture, Software Engineering, Build Management, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Bare Metal, Azure AKS, Hardware Infrastructure - **Published:** August 12, 2026 - **Apply:** https://www.disabledperson.com/jobs/74201899-principal-software-engineer-dgx-cloud-production-engineering ## About the Role * 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. ## Description 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. ## Related Videos - [Your Next AI Needs 10,000 GPUs. Now What?](https://www.wearedevelopers.com/videos/1590-your-next-ai-needs-10-000-gpus-now-what) - [Azure-Well Architected Framework - designing mission critical workloads in practice](https://www.wearedevelopers.com/videos/1529-azure-well-architected-framework-designing-mission-critical-workloads-in-practice) - [Single Server, Global Reach: Running a Worldwide Marketplace on Bare Metal in a Cloud-Dominated World](https://www.wearedevelopers.com/videos/1206-single-server-global-reach-running-a-worldwide-marketplace-on-bare-metal-in-a-cloud-dominated-world) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬](https://www.wearedevelopers.com/videos/100355-running-secure-life-science-research-at-scale-using-hybrid-gpu-hpc-and-kubernetes) - [A Deep Dive on How To Leverage the NVIDIA GB200 for Ultra-Fast Training and Inference on Kubernetes](https://www.wearedevelopers.com/videos/1625-a-deep-dive-on-how-to-leverage-the-nvidia-gb200-for-ultra-fast-training-and-inference-on-kubernetes) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)