Product Manager, AI for Quantum
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Job Description
Product Manager shaping NVIDIA’s AI-for-Quantum platforms for quantum computing. Translating AI and quantum research into scalable tools, developer experiences, and ecosystem solutions.
Responsibilities:
- Define and continuously refine product strategies, roadmaps, and go-to-market plans for NVIDIA’s AI for Quantum platform and initiatives
- Collaborate with research, engineering, and product teams across and outside NVIDIA to build AI models, tools, APIs, libraries, and workflows that accelerate quantum computing
- Engage with quantum hardware partners, research institutions, and developers to identify high-value AI applications across quantum system design, control, calibration, characterization, error correction, and algorithm development
- Evangelize NVIDIA's accelerated computing and AI platform through technical presentations, whitepapers, conference talks, and direct ecosystem engagement
- Identify untapped opportunities at the intersection of AI, HPC, and quantum to expand NVIDIA’s value proposition and establish new product opportunities
- Present 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 proven experience in AI, accelerated computing, quantum computing, or related technologies
- Strong working knowledge of modern AI methods and the quantum computing ecosystem
- Understanding of applying machine learning and AI techniques to scientific and engineering problems
- Ability to evaluate emerging AI-for-quantum use cases and technologies
- World-class communication skills, with ability to articulate value propositions to technical and non-technical audiences
- Ability to set task-level goals and develop creative solutions to sophisticated problems
- Ability to identify untapped opportunities
- Deep familiarity with AI and quantum computing research, particularly AI applications 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 quantum modalities such as superconducting qubits, trapped ions, neutral atoms, or photonic systems
- Understanding of quantum hardware scaling challenges
- Prior product management experience in AI platforms, developer platforms, SDKs, scientific computing, or hardware-software integration bringing research innovations to production
Benefits:
- Highly competitive salaries
- Comprehensive benefits package
- Equity
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