Product Manager, CUDA-Q

NVIDIA is a leading technology company that has been transforming computer graphics and accelerated computing for over 25 years. They are seeking a passionate product leader to drive the CUDA-Q platform, which bridges classical accelerated computing and quantum processors, enabling fault-tolerant quantum-GPU supercomputing. The role involves defining product strategies, collaborating with teams, and engaging with quantum hardware partners to promote groundbreaking technologies.

Responsibilities:

• Defining and continuously refining product strategies, roadmaps, and go-to-market plans for CUDA-Q
• Collaborating with research and engineering teams both across and outside NVIDIA to build the crucial tools, APIs, and libraries for CUDA-Q
• Engaging with and learning from quantum hardware partners and research institutions to validate technical approaches, capture integration requirements, and continuously improve CUDA-Q
• Evangelizing and fostering NVIDIA's accelerated computing platform within the quantum computing ecosystem through technical presentations, whitepapers, conference talks, and direct engagement
• Identifying untapped opportunities at the intersection of AI, HPC, and quantum to expand CUDA-Q's value proposition
• 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 (PhD preferred)
• 8+ years of experience demonstrated technical experience in and working knowledge of quantum computing software, with exposure to fault-tolerant quantum computing fundamentals
• 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
• Deep familiarity with the state-of-the-art research, software, and standards in quantum computing, particularly in fault-tolerant architectures and error correction methods
• Experience with GPUs, CUDA, or CUDA Libraries
• Published research in quantum error correction, fault-tolerant quantum computing, or quantum algorithm development
• Technical expertise in specific quantum modalities (superconducting qubits, trapped ions, neutral atoms, photonic systems)
• Prior product management experience in developer platforms, compilers, SDKs, or hardware-software integration bringing research innovations to production