Senior Product Manager, Kubernetes Accelerated Runtime

NVIDIA; Santa Clara (CA); On-site; USD 208,000 - 380,000; Full time

Job summary

NVIDIA is seeking a seasoned Product Manager to lead the AI Cluster Runtime (AICR), shaping the roadmap for GPU-enabled Kubernetes across accelerators, clouds, and workloads. You will drive strategy for how NVIDIA’s software stack runs on Kubernetes and coordinate with customers, partners, and the open-source community.

You will own the product direction, ensure reproducible, validated stack deployments, and work to grow AICR’s footprint from training to inference while collaborating with

Qualifications

• 12+ years in technical product management across cloud infrastructure, Kubernetes, or developer tooling.
• Bachelor's or master's degree in a relevant field, or equivalent experience.
• Depth in the Kubernetes GPU stack: provisioning, drivers, scheduling, and compatibility across kernel and Kubernetes versions.
• Experience with GitOps and cluster configuration delivery (Helm, Argo CD, Flux).
• Track record of contributing to open-source projects and community presence.

Responsibilities

• Own AICR and related technologies, set product direction, and standardize execution of NVIDIA's GPU software stack on Kubernetes.
• Expand coverage across accelerators, clouds, and workloads for training, inference, and AI workloads.
• Keep the stack current and trustworthy, turning NVIDIA validation into reproducible recipes for customers.
• Represent AICR to customers and partners, and lead its growth in the open-source community.

Skills

Kubernetes

Cloud infra

Open source

GitOps

Stakeholder mgmt

Education

Bachelor's/Master's in a relevant field

Tools

Helm

Argo CD

Flux

Cosign

Job description

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

• 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

• 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

• 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

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 327,750 USD for Level 5, and 240,000 USD - 379,500 USD for Level 6.

You will also be eligible for equity and benefits.

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.