Product Manager, AI for Quantum

Quantum Software; Santa Clara, Northern (CA, KY); Hybrid; USD 208,000 - 328,000; Full time

Job summary

NVIDIA is seeking a passionate product leader to drive the AI for Quantum strategy and platform. This role translates AI and quantum research into scalable platforms, developer experiences, and ecosystem solutions.

You will work with research, engineering, and partners to accelerate quantum computing through AI-driven tools and workflows, while presenting strategic directions to executives. Equity and benefits apply.

Qualifications

• Master's degree in Physics, CS, Mathematics, Engineering, or related 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 ML/AI can solve scientific and engineering problems, with ability to evaluate AI-for-quantum use cases.
• World-class communication skills to articulate value to technical and non-technical audiences.
• Strong ability to set goals, develop creative solutions, and identify untapped opportunities.

Responsibilities

• Define and refine product strategies, roadmaps, and go-to-market plans for the AI for Quantum platform and initiatives.
• Collaborate with research, engineering, and product teams to build AI models, tools, APIs, libraries, and workflows for quantum computing.
• Engage with quantum hardware partners, research institutions, and developers to identify high-value AI applications across quantum system design and development.
• Evangelize NVIDIA's accelerated computing and AI platform through talks, papers, and direct engagement.
• Identify opportunities at AI, HPC, and quantum intersections to expand value propositions and create new products.
• Present technical product vision and strategy updates to executive leadership.

Skills

AI for Quantum

Accelerated computing

Quantum computing

Communication skills

Education

Master's degree

Tools

CUDA

NVIDIA AI tools

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! 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 August 29, 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. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

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

QUANTUM ROLE CONTEXT | Appended by Quantum.Jobs v2

Role context:

Product management roles focused on artificial intelligence and quantum computing exist to define strategic roadmaps and align multidisciplinary teams around hybrid technology integration. Positioned between fundamental research groups, software engineering units, and commercial stakeholders, this function translates complex computational methods into structured platform capabilities. Professionals in this role evaluate emerging technical paradigms, coordinate cross-functional initiatives, and establish standard workflows that enable internal teams and external collaborators to adopt advanced computational tools effectively across organizational frameworks.

Quantum ecosystem relevance:

This role supports the quantum ecosystem by facilitating the integration of machine learning techniques with quantum software development and hardware design. As quantum processors scale, artificial intelligence serves an enabling role in optimizing system control, device calibration, and error mitigation strategies. By connecting developer platforms with research communities and hardware partners, this function contributes to building software infrastructure, API layers, and simulation interfaces necessary for broader ecosystem commercialization and algorithm development.

Capability signals:

• Cross-domain technical leadership across artificial intelligence and quantum computing paradigms
• Strategic product lifecycle management for developer platforms and software interfaces
• Ability to bridge specialized scientific research with practical software architecture
• Experience building collaborative technical partnerships across research and industry networks
• Fluency in scientific computing workflows and hardware-software system integration