Quantum Product Architect

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. What you'll be doing: Serve as the senior technical and strategic interface to a focused set of NVIDIA's most important QPU-builder partners. Develop a detailed understanding of each partner's architecture, technical roadmap, product strategy, and system requirements. Use these insights to shape NVIDIA's computing, networking, and quantum software roadmaps. Create and drive multi-year joint roadmaps that integrate partner QPUs with NVIDIA GPUs, networking, systems, and software, including CUDA-Q, CUDA-Q QEC, cuQuantum, and NVQLink. Move partner engagements from piecemeal integrations toward co-designed, productizable QPU-GPU systems and reference architectures that NVIDIA and its partners can take to market. Lead cross-functional work across NVIDIA product, engineering, systems, networking, developer relations, and business development teams to turn joint roadmaps into clear technical plans and deliverables. 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. 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. 14+ 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! The base salary range is 320,000 USD - 488,750 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until September 19, 2026. 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. #J-18808-Ljbffr Nvidia Corporation