Product Manager, AI for Quantum

NVIDIA is seeking a product leader to drive its AI for Quantum strategy and platform. The role focuses on translating AI and quantum research into scalable platforms, developer experiences, and ecosystem solutions while defining product roadmaps, collaborating with technical teams and partners, and communicating product vision to executive leadership.

Responsibilities:

• 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

Requirements:

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