Build and maintain tooling for AICR lifecycle management — provisioning, upgrades, configuration drift detection, and remediation
Represent the runtime team in architecture reviews, roadmap planning, and customer communications with NVIDIA leadership
Contribute to open source communities anywhere NKE has upstream dependencies or influence
What We Need to See
BS/MS degree in Computer Science or related field (or equivalent experience)
12+ overall years of relevant experience designing and delivering large-scale distributed software systems, including 5+ years of people-management experience leading, developing, and scaling high-performing software engineering teams responsible for complex, production-critical software.
Experience leading a group of engineers with varying specializations and seniority levels — bridging runtime, networking, and security fields is a core part of this role
Kubernetes internals knowledge — not just usage; you understand how the scheduler, kubelet, API server, and admission controllers interact
Cluster lifecycle management experience — Cluster API, kubeadm, or equivalent; experience leading fleet-scale cluster provisioning and upgrades
Security and compliance posture — CIS Kubernetes Benchmark, pod security admission, image signing, supply chain integrity
Proven ability to design and implement maintainable APIs for consumers
Familiarity with Identity and Access Management approaches
Excel in managing up, down, and across organizations
Demonstrated ability to reach cross-organization consensus without all the details
Ways to Stand Out from the crowd
Prior experience with NVIDIA GPU Operator, DCGM Exporter, or NVLink-aware scheduling
Experience running Kubernetes at hyperscale with GPU node pools
Track record of upstream open source contributions in the Kubernetes or any open source runtime ecosystem
Experienced, persuasive, and effective interpersonal skills — written, verbal, and in front of engineering leadership
Demonstrated skills in coaching, analysis, problem solving, and short/long-term technical planning
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction — from artificial intelligence to autonomous vehicles. NVIDIA is widely considered one of the technology world's most desirable employers. We have some of the most forward-thinking and hard-working people in the world working for us. If you're passionate about building the infrastructure that runs AI at scale, we want to hear from you.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position 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 November 3, 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.
