Senior Product Manager, Kubernetes Accelerated Runtime

NVIDIA•Santa Clara, CA

10d•$208,000 - $379,500•Hybrid

About The Position

NVIDIA is hiring a product manager to lead AI Cluster Runtime (AICR), its open-source project for defining a validated, reproducible software stack for GPU-accelerated Kubernetes clusters. The stack is published as version-locked recipes with end-to-end supply-chain provenance, helping customers deploy and operate clusters with confidence. The role sets product direction for AICR and related technologies and aims to establish AICR as the industry standard for running NVIDIA's software stack on Kubernetes. The product manager will expand coverage across accelerators, clouds, and workloads—including training, inference, and agentic AI—while keeping the stack current and trustworthy. The position also represents AICR and other NVIDIA projects to customers, partners, and the open-source community.

Requirements

12+ years of technical product management experience across cloud infrastructure, Kubernetes, or developer and platform tooling.
A bachelor's or master's degree in a relevant field, or equivalent experience.
In-depth knowledge of the Kubernetes GPU stack, including cluster provisioning and lifecycle, operators and drivers, scheduling, and compatibility failure modes across kernel, driver, OS, and Kubernetes versions.
Experience with GitOps and cluster configuration delivery, using Helm, Argo CD, Flux, or equivalent tools, and understanding of reproducible configuration delivery.
A track record of contributing to open-source projects, including community strategy and external presence such as conference talks or technical writing.

Nice To Haves

Hands-on experience with NVIDIA GPU infrastructure, DGX systems, the GPU Operator, or GPU-aware Kubernetes scheduling.
Experience with software supply-chain security, including SLSA, SBOMs, Sigstore or Cosign, or reproducible builds.
Experience packaging and distributing sophisticated software stacks, including operators, drivers, and platform components, across clouds and hardware.
Experience owning or contributing to a widely adopted cloud-native or CNCF open-source project.

Responsibilities

Own AICR and related technologies, set product direction, and standardize how customers and partners run NVIDIA's GPU software stack on Kubernetes.
Expand AICR coverage across accelerators, clouds, and workloads, including training, inference, and agentic AI.
Keep the stack current and trustworthy by turning NVIDIA's validation into deployable recipes with supply-chain confidence.
Represent AICR and other NVIDIA projects to customers and partners.
Lead AICR's growth in the open-source community.