Product Manager, AI for Quantum

This is a fully remote position, open to applicants in California, +2 more states.

📋 Description

• Define and continuously enhance product strategies, roadmaps, and go-to-market initiatives for NVIDIA’s AI for Quantum platform.

• Collaborate with research, engineering, and product teams both within and outside NVIDIA to develop AI models, tools, APIs, libraries, and workflows that expedite quantum computing.

• Engage with quantum hardware partners, research institutions, and developers to discover high-value AI applications across quantum system design, control, calibration, characterization, error correction, and algorithm development.

• Promote NVIDIA's accelerated computing and AI platform through technical presentations, whitepapers, conference talks, and active ecosystem engagement.

• Identify unexplored opportunities at the intersection of AI, HPC, and quantum to enhance NVIDIA’s value proposition and create new product opportunities.

• Deliver technical product vision and strategy updates to executive leadership.

⛳️ Requirements

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

• Over 8 years of demonstrated experience in AI, accelerated computing, quantum computing, or related technologies.

• Strong understanding of contemporary AI methods and the quantum computing landscape.

• Knowledge of applying machine learning and AI techniques to scientific and engineering challenges.

• Ability to assess emerging AI-for-quantum use cases and technologies.

• Exceptional communication skills, capable of conveying value propositions to both technical and non-technical audiences.

• Competence in setting task-level objectives and developing innovative solutions to complex problems.

• Skill in identifying untapped opportunities.

• Extensive familiarity with AI and quantum computing research, particularly concerning AI applications in quantum hardware design, device modeling, control, calibration, characterization, error correction, and quantum algorithm development.

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

• Technical proficiency in quantum modalities such as superconducting qubits, trapped ions, neutral atoms, or photonic systems.

• Understanding of challenges related to scaling quantum hardware.

• Previous product management experience in AI platforms, developer platforms, SDKs, scientific computing, or hardware-software integration that brings research innovations into production.

🏝️ Benefits

• Highly competitive salaries.

• Comprehensive benefits package.

• Equity.