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Senior Product Manager, Kubernetes Accelerated Runtime

NVIDIA· Product Management
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Santa Clara, CA, Seattle, WA$208k - $327.8k + equityfull-timePosted 1mo ago

About the role

Lead the accelerated runtime that defines every GPU Kubernetes cluster for NVIDIA's AI Cluster Runtime (AICR). Own the AICR vision, expand coverage across accelerators, clouds, and workloads, ensure reproducible supply-chain validated recipes, and represent AICR to customers, partners, and the open-source community.

Responsibilities

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

Qualifications

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

Skills

Required:Technical product managementKubernetes GPU stackGitOps

Benefits

  • equity
  • comprehensive benefits package (see NVIDIA benefits)
Last updated Sep 4, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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