10 days ago
Base Salary
$272k - $431k/yr
Responsibilities
- Lead architecture and development of Kubernetes platform capabilities, including cluster management, control plane services, fleet lifecycle, and day-2 operations.
- Design and build distributed systems and APIs for provisioning, managing, upgrading, and remediating Kubernetes clusters at scale.
- Define technical requirements, validation criteria, production-readiness practices, declarative workflows, and platform automation direction.
- Drive cohesive platform experiences across management APIs, lifecycle orchestration, runtime integration, and fleet consistency.
- Diagnose and resolve complex issues involving infrastructure, runtime, networking, hardware, and operations.
- Influence engineering standards, architectural decisions, and long-term platform strategy.
- Mentor senior engineers and improve design quality, execution, and engineering rigor.
Requirements
- BS or MS in Computer Science, Computer Engineering, or a related field, or equivalent experience.
- 15+ years of relevant software engineering experience, including 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.
- Experience building platform software, infrastructure control planes, or managed-service foundations.
- Strong programming skills in one or more of Go, Python, Rust, or C++.
- Experience designing APIs and abstractions for platform consumers and engineering teams.
- Ability to provide technical leadership across team boundaries and complete ambiguous, cross-functional initiatives.
- Excellent communication and collaboration skills with significant technical contributions and recognized expertise influencing department-level architecture and high-priority initiatives.
- Preferred experience includes Kubernetes platforms or managed Kubernetes services, fleet management, cluster upgrades, node lifecycle, remediation, day-2 operations, declarative infrastructure, Kubernetes controllers, GitOps, policy-driven automation, public-cloud and bare-metal environments, and AI, GPU, or HPC platforms.
Benefits
- Competitive salary, equity, and benefits are offered.
- The expected base salary range is USD 272,000–431,250.
- Applications will be accepted at least until November 3, 2026.
- This posting is for an existing vacancy.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.