NVIDIA

Senior Product Manager, Kubernetes Accelerated Runtime

$208K–$380K

US, CA, Santa Clara +1 · Manager · Full-time · Posted Aug 31, 2026

Location: US, CA, Santa Clara
US, WA, Seattle
Experience: 12+ years in technical product management; no alternative stated.
Education: A bachelor's or master's degree in a relevant field, or equivalent experience.

About the job

Leads product direction and growth for NVIDIA’s open-source AI Cluster Runtime, standardizing validated GPU software stacks for Kubernetes clusters.

Own AICR and related technologies, setting product direction and standardizing how customers and partners run NVIDIA’s GPU software stack on Kubernetes.
Expand coverage across accelerators, clouds, and workloads, and turn validation into trusted, reproducible deployment recipes.
Represent AICR to customers, partners, and the open-source community; lead its community growth.

12+ years in technical product management across cloud infrastructure, Kubernetes, or developer and platform tooling.
Depth in the Kubernetes GPU stack, including provisioning, lifecycle, operators, drivers, scheduling, and compatibility failure modes.
Experience with GitOps and cluster configuration delivery (Helm, Argo CD, Flux, or equivalent tools).
Track record contributing to open-source projects, including community strategy and external presence such as conference talks or technical writing.

Hands-on experience with NVIDIA GPU infrastructure, DGX systems, the GPU Operator, or GPU-aware Kubernetes scheduling.
Experience with software supply-chain security, packaging and distributing complex software stacks, or widely adopted cloud-native/CNCF open-source projects.

208,000 USD - 327,750 USD (base salary, Level 5); 240,000 USD - 379,500 USD (base salary, Level 6)

Kubernetes, Helm, Argo CD, Flux, DGX, GPU Operator, SLSA, SBOMs

Grow AICR across accelerators, clouds, and workloads, including training, inference, and agentic AI.

Model-written summary · the original posting is authoritative