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Senior Product Manager – DGX Station

NVIDIA· Product Management
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Santa Clara, CA$168k - $327.8k + equityfull-timePosted 2w ago

About the role

Technical Senior Product Manager to define and launches Local AI GPU products for workstation/edge deployments, turning developer/researcher needs into product requirements and driving end-to-end lifecycle from architecture to go-to-market.

Responsibilities

  • 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.

Qualifications

  • 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.

Skills

Required:Product lifecycle managementAI/ML product requirementsHardware/software system definitionMarket and competitive analysisCross-functional leadershipTechnical collateral development

Benefits

  • equity
  • benefits (see NVIDIA Benefits)
Last updated Oct 9, 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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