Product Manager, AI for Quantum

Reposted Yesterday
4 Locations
In-Office or Remote
168K-328K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead NVIDIA’s AI for Quantum product strategy, roadmap, and go-to-market initiatives. Translate AI and quantum research into scalable platforms, developer tools, APIs, libraries, and workflows. Partner with researchers, engineers, quantum hardware companies, institutions, and developers to identify applications across quantum design, control, calibration, error correction, and algorithms. Evangelize the platform through technical communications, identify new AI, HPC, and quantum opportunities, and present product strategy to executives.
Summary Generated by Built In

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:

  • Defining and continuously refining product strategies, roadmaps, and go-to-market plans for NVIDIA’s AI for Quantum platform and initiatives

  • 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

  • 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

  • Evangelizing and fostering NVIDIA's accelerated computing and AI platform within the ecosystem through technical presentations, whitepapers, conference talks, and direct engagement

  • Identifying untapped opportunities at the intersection of AI, HPC, and quantum to expand NVIDIA’s value proposition and establish new product opportunities

  • Presenting technical product vision and strategy updates to executive leadership

What we need to see:

  • Master's degree in Physics, Computer Science, Mathematics, Engineering, or related technical field, or equivalent experience (PhD preferred)

  • 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

  • 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

  • World-class communication skills with a demonstrated ability to articulate value propositions to both technical and non-technical audiences

  • Strong abilities to set task-level goals, develop creative solutions to sophisticated problems, and identify untapped opportunities

Ways to stand out from the crowd:

  • 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

  • Experience with GPUs, CUDA, CUDA Libraries, or NVIDIA AI software and frameworks

  • 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

  • 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.

Skills Required

  • Master’s degree in Physics, Computer Science, Mathematics, Engineering, or a related technical field, or equivalent experience
  • 8+ years of experience in AI, accelerated computing, quantum computing, or related technologies
  • Strong working knowledge of modern AI methods and the quantum computing ecosystem
  • Understanding of applying machine learning and AI techniques to scientific and engineering problems
  • Ability to evaluate emerging AI-for-quantum use cases and technologies
  • World-class communication skills with the ability to articulate value propositions to technical and non-technical audiences
  • Ability to set task-level goals and develop creative solutions to sophisticated problems
  • Ability to identify untapped opportunities
  • PhD in a relevant technical field
  • Deep familiarity with AI and quantum computing research
  • Experience with GPUs, CUDA, CUDA Libraries, or NVIDIA AI software and frameworks
  • Technical expertise in quantum modalities such as superconducting qubits, trapped ions, neutral atoms, or photonic systems
  • Understanding of challenges involved in scaling quantum hardware
  • Product management experience in AI platforms, developer platforms, SDKs, scientific computing, or hardware-software integration

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.

  • Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
  • Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
  • Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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.”

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