Product Manager, AI for Quantum

Nvidia

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Remote

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Work type
Remote
Location
Santa Clara, CANYILCA
Employment
Full-time
Posted
25 days ago
Freshness
Confirmed live today

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Similar $209k
$153k $249k
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This listing doesn't post a salary. Most similar roles pay $177,250–$240,037.

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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Product Manager, AI for Quantum

The Product Manager, AI for Quantum will lead the strategy and platform development for the intersection of artificial intelligence and quantum computing. This role involves defining product roadmaps, go-to-market plans, and technical visions for the AI for Quantum platform. You will collaborate with research and engineering teams to build AI models, tools, APIs, libraries, and workflows. Key responsibilities include engaging with hardware partners and research institutions to identify applications in quantum system design, control, calibration, characterization, error correction, and algorithm development. Required expertise includes a Master's degree in a technical field, experience with modern AI methods, and knowledge of the quantum computing ecosystem. You should be proficient with GPUs, CUDA, and NVIDIA AI software while addressing challenges in scaling quantum hardware through accelerated computing.

What does a Product Manager earn in California?

Median $222500 from 327 postings across 57 companies.

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What you'll do

  • Define and refine product strategies, roadmaps, and go-to-market plans for the AI for Quantum platform.
  • Build AI models, tools, APIs, libraries, and workflows to accelerate quantum computing development.
  • Identify high-value AI applications for quantum system design, control, calibration, and error correction.
  • Evangelize NVIDIA's accelerated computing platform through technical presentations, whitepapers, and conference talks.
  • Identify untapped opportunities at the intersection of AI, HPC, and quantum to expand the product portfolio.
  • Present technical product vision and strategy updates to executive leadership.

What we're looking for

  • Master's degree in Physics, Computer Science, Mathematics, Engineering, or a related technical field, or equivalent experience (PhD preferred).
  • 8+ years of proven experience in AI, accelerated computing, quantum computing, or related technologies.
  • Strong working knowledge of modern AI methods and the quantum computing ecosystem.
  • Ability to apply machine learning and AI techniques to scientific and engineering problems.
  • World-class communication skills to articulate value propositions to both technical and non-technical audiences.
  • Ability to set task-level goals, develop creative solutions to sophisticated problems, and identify untapped opportunities.
  • Deep familiarity with AI and quantum computing research, particularly applications to hardware design, control, or algorithm development (preferred).
  • Experience with GPUs, CUDA, CUDA Libraries, or NVIDIA AI software and frameworks (preferred).

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