Product Manager, AI for Quantum
AI in this role
Lead NVIDIA's AI for Quantum platform strategy, building AI models, tools, and workflows to accelerate quantum computing research.
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 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 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 we rate this
Product Manager, AI for Quantum at NVIDIA rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where quantum computing was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where accelerated computing was part of your work. What did you do?
- Walk me through how you've used Apis in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Product Management, Quantum Computing, Machine Learning, Accelerated Computing, and Apis. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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