PhD Research Intern, Quantum Simulation and AI - 2027
$0k - $0k • Remote • US, CA, Santa Clara
Posted 7d ago
Job Location
US, CA, Santa Clara
Tech Stack
Remote Work Policy
Fully remote
Categories
Machine Learning Engineer
About the job
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. This role involves researching and developing creative and innovative algorithms and software systems for the quantum computing ecosystem, collaborating with research and product teams, and publishing original research.
Responsibilities
- Research and develop algorithms and software systems for the quantum computing ecosystem.
- Collaborate with research and product teams in machine learning, programming systems, and quantum computing.
- Publish and present original research.
- Collaborate with external quantum computing researchers.
- Run large-scale experiments on GPU clusters for quantum computing simulation.
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, publications, and/or patents.
- Strong foundation in linear algebra and expertise in math for quantum computing and tensor algebraic methods.
- Experience with Python.
- Experience with CUDA (ideally).
- Experience with machine learning frameworks like PyTorch, Tensorflow, or JAX.
- Strong communication and teamwork skills.
Benefits
- Internship hourly rates: 38 USD - 94 USD.
- Eligibility for Intern benefits.