
Product Manager, AI for Quantum
Santa Clara, CAFull-time$168–328K/yrPosted 1w agoStill listed 6 days ago
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At a glance
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Job overview
NVIDIA seeks a product leader to drive its AI for Quantum strategy and platform, translating advances in AI and quantum research into scalable platforms, developer experiences, and ecosystem solutions. The role develops product strategy and go-to-market plans, collaborates with research and engineering teams and external partners, identifies applications and opportunities, and presents product vision to executive leadership.
Skills & qualifications
Skills
Qualifications
Full job description
We're looking for a passionate product leader to drive NVIDIA’s AI for Quantum strategy and platform. AI is rapidly emerging as a critical technology for advancing quantum computing, and this role sits their intersection, requiring the ability to translate advances in AI and quantum research into scalable platforms, developer experiences, and solutions for the quantum ecosystem. If you want to promote the adoption of groundbreaking technologies and make a difference in a fun, dynamic work environment, we want you to join us!
What you'll be doing:
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Defining and continuously refining product strategies, roadmaps, and go-to-market plans for NVIDIA’s AI for Quantum platform and initiatives
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Collaborating with research, engineering, and product teams both across and outside NVIDIA to build the crucial AI models, tools, APIs, libraries, and workflows needed to accelerate quantum computing
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Engaging with quantum hardware partners, research institutions, and developers to identify high-value applications of AI across quantum system design, control, calibration, characterization, error correction, and algorithm development
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Evangelizing and fostering NVIDIA's accelerated computing and AI platform within the ecosystem through technical presentations, whitepapers, conference talks, and direct engagement
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Identifying untapped opportunities at the intersection of AI, HPC, and quantum to expand NVIDIA’s value proposition and establish new product opportunities
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Presenting technical product vision and strategy updates to executive leadership
What we need to see:
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Master's degree in Physics, Computer Science, Mathematics, Engineering, or related technical field, or equivalent experience (PhD preferred)
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8+ years of proven experience in AI, accelerated computing, quantum computing, or related technologies, with strong working knowledge of modern AI methods and the quantum computing ecosystem
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Understanding of how machine learning and AI techniques can be applied to scientific and engineering problems, with the ability to evaluate emerging AI-for-quantum use cases and technologies
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World-class communication skills with a demonstrated ability to articulate value propositions to both technical and non-technical audiences
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Strong abilities to set task-level goals, develop creative solutions to sophisticated problems, and identify untapped opportunities
Ways to stand out from the crowd:
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Deep familiarity with AI and quantum computing research, particularly applications of AI to quantum hardware design, device modeling, control, calibration, characterization, error correction, or quantum algorithm development
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Experience with GPUs, CUDA, CUDA Libraries, or NVIDIA AI software and frameworks
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Technical expertise in specific quantum modalities (superconducting qubits, trapped ions, neutral atoms, photonic systems) and an understanding of the challenges involved in scaling quantum hardware
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Prior product management experience in AI platforms, developer platforms, SDKs, scientific computing, or hardware-software integration bringing research innovations to production
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most hard-working and dedicated people in the world working for us and, due to outstanding growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 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 November 6, 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.
How this job compares
Set against the 10,560 open Product Management jobs on Olive Jobs, counted November 10, 2026.
- Pay
- This posting$168–328K/yr
- California median$177–264K/yr1,449 salary ranges
- US median$147–218K/yr8,606 salary ranges
This range's midpoint, $248K, is 12% above the California median midpoint ($222K) — in the middle half of Product Management salary ranges in California.
- Openings
- Olive Jobs lists 1,717 open Product Management jobs in California and 10,560 across the US. 9% of them nationwide are listed as remote or flexible.
- Hiring the most in California
- Google115 open
- Palo Alto Networks56 open
- NVIDIA (this employer)53 open
- Experience
- This posting asks for at least 8 years of experience; Product Management postings that state a minimum ask for 7 years at the median (8,897 postings).
- Education
- 3,213 of the 10,560 open Product Management jobs (30%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 10, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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