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
#LI-Hybrid
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.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.Skills Required
- 12+ years of technical product management experience across cloud infrastructure, Kubernetes, or developer and platform tooling
- Bachelor’s or master’s degree in a relevant field, or equivalent experience
- Deep knowledge of the Kubernetes GPU stack, including cluster provisioning and lifecycle, operators, drivers, scheduling, and compatibility failure modes
- Experience with GitOps and cluster configuration delivery using Helm, Argo CD, Flux, or equivalent tools
- Track record of contributing to open-source projects, including community strategy and external presence through conference talks or technical writing
- Hands-on experience with NVIDIA GPU infrastructure, DGX systems, GPU Operator, or GPU-aware Kubernetes scheduling
- Experience with software supply-chain security, including SLSA, SBOMs, Sigstore, Cosign, or reproducible builds
- Experience packaging and distributing sophisticated software stacks across clouds and hardware
- Experience owning or contributing to a widely adopted cloud-native or CNCF open-source project
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
