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Senior Product Manager – DGX Station

NVIDIA

Senior · 8+ yrsOn-site · US, CA, Santa ClaraListed 8d ago
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🇺🇸 Santa Clara, CA, United States

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Experience Senior · 6+ yrs (8+ years)

About the role

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Skip to main content Senior Product Manager – Local AI GPUs page is loaded Senior Product Manager – Local AI GPUs Apply locationsUS, CA, Santa Clara time typeFull time posted onPosted Today job requisition idJR2027080 NVIDIA is the engine behind modern agentic AI - from frontier model training and inference to…

What you will do

  • Own the full product lifecycle related to Local AI offerings —architecture definition, feature prioritization, roadmap, launch, and scale-out adoption.
  • Define hardware, system, and software requirements across compute, networking, storage, and security to support agentic AI & simulation workloads.
  • Translate real workloads into targets for model capacity, latency, efficiency, memory, bandwidth, power, and cost.
  • Partner with OEMs & customers to capture requirements, validate builds, and ensure platform success in diverse deployment environments.
  • Drive alignment with engineering, architecture, operations, and supply chain teams to deliver products on time and at scale.

What they are looking for

  • 8+ years in product management, with meaningful time on compute products, AI/ML, developer tools, or infrastructure products.
  • Strong understanding of AI accelerator architectures and the factors that affect AI inference performance.
  • Proven ability to take products from concept → launch → customer adoption at scale.
  • Strong product judgement with capacity to make clear tradeoffs among performance, memory capacity, power, cost, and user experience
  • A strong mix of technical depth and strategic/business insight. Highly analytical. Able to balance multiple projects at the same time.
  • Excellent communication skills and the ability to work cross-functionally across engineering, operations, and customer teams.
  • Bachelor's Degree or equivalent experience

Nice to have

  • MBA preferred
  • Hands-on experience with local AI workloads and agents.
  • Familiarity with enterprise AI deployment challenges and needs.
  • Demonstrated success defining & positioning hardware/software compute platforms.

Benefits

  • You will also be eligible for equity and benefits.
Product managementAI/MLAI inference performanceProduct lifecycle managementMarket and competitive analysisProduct positioningCross-functional communicationAnalytical skillsWindowsLinuxNVIDIA platformspopular modelsinference frameworks
Full posting text

Skip to main content Senior Product Manager – Local AI GPUs page is loaded Senior Product Manager – Local AI GPUs Apply locationsUS, CA, Santa Clara time typeFull time posted onPosted Today job requisition idJR2027080 NVIDIA is the engine behind modern agentic AI - from frontier model training and inference to accelerated data analytics, simulation, both in the cloud as well as locally at the edge.

We are looking for a technical and hands-on Senior Product Manager who can turn the needs of developers, researchers, and enterprises into product requirements for personal AI systems and help define, build, and launch the next generation of GPU products for Local AI. Generative AI is moving from the cloud to the workstation and the edge. Developers want to prototype, fine-tune, and run frontier models locally.

Enterprises want to deploy agents against their private data on-prem. This Product Manager will make our Local AI platforms the best place to build and run modern AI. You will build GPU architectures, platform integration, and go-to-market strategy for some of the most fast-paced compute environments in the world. Do this sound like a challenge you are up for? If so, come show us what you've got!

What You’ll Be Doing: - Own the full product lifecycle related to Local AI offerings —architecture definition, feature prioritization, roadmap, launch, and scale-out adoption. - Define hardware, system, and software requirements across compute, networking, storage, and security to support agentic AI & simulation workloads. - Translate real workloads into targets for model capacity, latency, efficiency, memory, bandwidth, power, and cost. - Study developer workflows on Windows and Linux, including how popular models and inference frameworks run on NVIDIA platforms. - Partner with OEMs & customers to capture requirements, validate builds, and ensure platform success in diverse deployment environments. - Conduct market and competitive analysis to drive next-generation GPU, interconnect, and system strategy. - Drive alignment with engineering, architecture, operations, and supply chain teams to deliver products on time and at scale. - Build technical collateral (white papers, briefs, specifications, solution guides) and support customer-facing engagements. - Position NVIDIA’s accelerated compute solutions to technical and executive audiences, articulating performance, TCO, and AI workload benefits.

What We Need to See: - 8+ years in product management, with meaningful time on compute products, AI/ML, developer tools, or infrastructure products. - Strong understanding of AI accelerator architectures and the factors that affect AI inference performance. - Proven ability to take products from concept → launch → customer adoption at scale. - Strong product judgement with capacity to make clear tradeoffs among performance, memory capacity, power, cost, and user experience - A strong mix of technical depth and strategic/business insight.

Highly analytical. Able to balance multiple projects at the same time. - Excellent communication skills and the ability to work cross-functionally across engineering, operations, and customer teams. - Bachelor's Degree or equivalent experience; MBA preferred Ways to Stand Out from the crowd: - Hands-on experience with local AI workloads and agents. - Familiarity with enterprise AI deployment challenges and needs. - Demonstrated success defining & positioning hardware/software compute platforms.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 208,000 USD - 327,750 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 9, 2026. 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.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA. Follow Us - X - Facebook - Glassdoor - LinkedIn - YouTube Applicant Privacy Policy © 2026 Workday, Inc. All rights reserved.

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NVIDIA

Computer Hardware Manufacturing

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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