Senior Product Manager, Kubernetes Accelerated Runtime

Running GPU-accelerated Kubernetes reliably is deceptively hard. A small change to a driver, kernel, operator, or Kubernetes version can break a cluster in ways that are painful to diagnose and expensive to reproduce. AI Cluster Runtime (AICR) is NVIDIA's open source project to define a validated, reproducible software stack that can go into every AI cluster, published as version-locked recipes customers can trust through end-to-end supply-chain provenance.

NVIDIA is hiring a product manager to lead the accelerated runtime that defines every GPU Kubernetes cluster. You'll set the direction for the NVIDIA AICR project and grow it into how the industry runs NVIDIA's software stack on Kubernetes, growing its coverage across accelerators, clouds, and workloads. The role also represents AICR to customers, partners, and the open-source community. Want to bring GPU infrastructure to life and power NVIDIA innovation? We'd love to hear from you!

What we need to see:

The mission is ambitious: make NVIDIA's accelerated software stack the runtime that powers every GPU Kubernetes cluster! This role will:

• 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.

What We Need to See:

We're looking for an experienced product manager who can go deep on GPU infrastructure and lead an open-source project in the open.

• 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.

Ways to Stand Out from the crowd:

We're especially interested in candidates who also bring experience:

• Hands-on work with NVIDIA GPU infrastructure, DGX systems, the GPU Operator, or GPU-aware Kubernetes scheduling.

• Software supply-chain security: SLSA, SBOMs, Sigstore or Cosign, or reproducible builds.

• Packaging and distributing a sophisticated software stack (operators, drivers, platform components) across clouds and hardware.

• Owning or contributing to a widely adopted cloud-native or CNCF open-source project.

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, explore the opportunities available to you and your family at www.nvidiabenefits.com

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You will also be eligible for equity and benefits.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.