NVIDIA Research is seeking leading researchers in the area of simulation and AI for quantum. You should have a strong background of research excellence, software systems building experience, and interest in advancing the state-of-the-art in quantum computing and applications of GPUs to the quantum computing ecosystem. Specific areas of research interest include but are not limited to bespoke quantum representations, tensor network methods, quantum surrogate modeling, quantum inverse design, and automated proving for quantum systems. What you’ll be doing: Research and develop creative and innovative algorithms and software systems for the quantum computing ecosystem. Collaborate with research and product teams in the areas of machine learning, programming systems, and quantum computing. Publish and present your original research, speak at conferences and events. Collaborate with external quantum computing researchers. Run large-scale experiments on large clusters of GPUs to advance the state-of-the-art in quantum computing simulation. What we need to see: Currently pursuing a Ph.D. in Quantum Physics or related fields 1+ years of relevant research experience in quantum computing with a strong research record, well-referenced publications and/or patents. Strong basis in linear algebra and expertise in math for quantum computing and tensor algebraic methods. Experience with Python and, ideally, CUDA Experience with commonly used machine learning frameworks (PyTorch, Tensorflow, JAX). Strong communication and teamwork skills. 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, we are increasingly known as “the AI computing company.” We're looking to grow our company, and build our teams with the smartest people in the world. Join us at the forefront of technological advancement. Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 38 USD - 94 USD. You will also be eligible for Intern benefits. Applications for this job will be accepted at least until September 27, 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. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.
QUANTUM ROLE CONTEXT | Appended by Quantum.Jobs v2
Role context:
This doctoral-level research internship exists to bridge classical high-performance computing hardware and quantum simulation software architectures. Positioned within an industrial research environment, the role operates at the intersection of machine learning systems, parallel computing infrastructure, and theoretical quantum physics. Researchers in this capacity explore novel computational methods and software tools to accelerate complex quantum system simulations. By conducting large-scale computational experiments, individuals in this role evaluate software paradigms that support both internal product research teams and broader external academic research collaborations.
Quantum ecosystem relevance:
The role supports the quantum ecosystem by advancing classical simulation techniques and software infrastructure required to model quantum processes. As physical quantum processors remain limited in scale, classical simulation platforms serve as critical tools for algorithm development, hardware design verification, and quantum surrogate modeling. By integrating artificial intelligence frameworks with accelerated computing hardware, this research function enables more efficient emulation of quantum states. This contributes to the broader technical foundation necessary for hybrid quantum-classical computing workflows and system software research.
Capability signals:
- Expertise in applying tensor network representations to quantum system simulations
- Research experience developing algorithms combining artificial intelligence with quantum physics
- Proficiency in high-performance computing frameworks and GPU acceleration software
- Ability to publish original scientific findings in technical conferences and journals
- Experience building software tools for mathematical modeling and linear algebra operations
