NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world!
We're looking for a passionate product leader to drive the CUDA-Q platform. CUDA-Q is the open-source programming framework bridging classical accelerated computing and quantum processors, to enable fault-tolerant quantum-GPU supercomputing. This role sits where quantum physics, high-performance computing, and developer tools converge, requiring the ability to translate groundbreaking research into production-ready developer experiences. 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!
What you'll be doing:
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,
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 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
Ways to stand out from the crowd:
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
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
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.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.Skills Required
- Master's degree in Physics, Computer Science, Mathematics, Engineering or related field (PhD preferred)
- 8+ years of experience in quantum computing software
- Strong communication skills
- Experience with GPUs, CUDA or CUDA Libraries
- Prior product management experience in developer platforms
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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