About The Position
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.
Requirements
- 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.
Responsibilities
- 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.
Benefits
- Intern benefits
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What This Job Offers
Career Level
Intern
Education Level
Ph.D. or professional degree
