At NVIDIA, we're solving the world's most demanding problems with our unique approach to accelerated computing. Quantum computing is one of the transformative technologies we are bringing to life — and the US national laboratories and federal research community are key hubs for much of that work. NVIDIA's quantum platform, spanning CUDA-Q, cuQuantum, CUDA-Q QEC, and NVQLink, is already central to how researchers simulate quantum systems, develop error-corrected architectures, and connect QPUs to GPU supercomputing.
We're looking for a passionate quantum computing expert to lead developer relations across this community. In this role you will define strategic collaborations, drive adoption of NVIDIA's quantum SDKs across federal research programs and serve as the technical bridge between mission scientists and NVIDIA's product and engineering teams. You'll do this by getting into the ecosystem — running workshops at user facilities, presenting at conferences, building reference implementations, and cultivating a network of collaborators across the federal quantum landscape. 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!
What you'll be doing:
Develop and sustain strong technical knowledge in quantum workloads important to the federal research community. These include large-scale circuit and device-level simulation, quantum error correction with real-time decoding, hybrid quantum-classical algorithm development, and QPU integration with high-performance computing systems.
Lead strategic collaborations with DOE national laboratories, the NQIS Research Centers, NNSA sites, and federally funded quantum programs across DoD, IC, NIST, and NSF. Identify high-impact problems NVIDIA is uniquely positioned to solve.
Partner with lab research teams and leadership computing facilities to plan, build, and embed the NVIDIA quantum stack — CUDA-Q, cuQuantum, CUDA-Q QEC, and NVQLink — into production research workflows.
Conduct technical workshops, hackathons, and hands-on training sessions at national labs, user facilities, and federal research venues. Represent NVIDIA at scientific and technical conferences such as SC, APS Global Physics Summit, and IEEE Quantum Week.
Monitor the federal quantum landscape to identify new opportunities in quantum simulation for materials and high-energy physics, large-scale quantum error correction, AI applied to quantum computing, or quantum digital twins. Deliver organized insights to NVIDIA engineering and product groups to support the CUDA-Q, CUDA-Q QEC, Ising, and NVQLink roadmaps.
Engage senior technical leaders, including division directors, principal investigators, chief scientists, and program managers. Collaborate to address architectural challenges such as QPU-GPU integration, real-time control, decoding latency, and the transition to fault tolerance.
What we need to see:
Master's degree in physics, computer science, electrical engineering, applied mathematics, chemistry, or a related field, or equivalent experience. PhD preferred.
8+ years of experience in quantum information science, with 5+ years in the quantum computing industry or at a national laboratory or similar research institution.
Demonstrated technical expertise across quantum algorithms, quantum error correction, or quantum hardware and control systems, with the ability to maintain a credible conversation with a principal investigator.
Hands-on background in scientific computing, high-performance computing, or GPU-accelerated software development.
Outstanding written and verbal communication skills, including public speaking to technical audiences.
Willingness to travel frequently (approximately 40%) to national laboratories, federal sites, and conferences across the United States.
This position requires U.S. citizenship and a security clearance. An active TS/SCI or DOE Q clearance is strongly preferred.
Ways to stand out from the crowd:
Prior experience working at or with a DOE national laboratory, an NQIS Research Center, or other federal institution — particularly hands-on time at a leading computing facility.
Familiarity with federal research funding, procurement, and collaboration mechanisms, and with how lab program offices set technical direction.
Prior developer relations, technical evangelism, or solutions architecture experience in a research-facing role.
Experience with quantum control stacks, QPU calibration, or real-time systems.
We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you!
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 an inclusive 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, electrical engineering, applied mathematics, chemistry, or related field, or equivalent experience.
- 8+ years of experience in quantum information science, with 5+ years in industry or at a national laboratory or similar research institution.
- Demonstrated technical expertise in quantum algorithms, quantum error correction, or quantum hardware and control systems.
- Hands-on background in scientific computing, high-performance computing, or GPU-accelerated software development.
- Outstanding written and verbal communication skills, including public speaking to technical audiences.
- Willingness to travel frequently (approximately 40%).
- U.S. citizenship and a security clearance.
- PhD in a relevant field.
- Active TS/SCI or DOE Q clearance.
- Prior experience working at or with DOE national laboratories, NQIS Research Centers, or other federal institutions.
- Familiarity with federal research funding, procurement, and collaboration mechanisms.
- Prior developer relations, technical evangelism, or solutions architecture experience in a research-facing role.
- Experience with quantum control stacks, QPU calibration, or real-time systems.
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.”
