NVIDIA
PhD Research Intern, Quantum Simulation and AI - 2027
US, CA, Santa Clara · Internship · Posted Oct 12, 2026
- Experience
- 1+ years of relevant research experience in quantum computing.
- Education
- Currently pursuing a Ph.D. in Quantum Physics or related fields.
About the job
Research and build algorithms and software systems for quantum computing simulation, using GPUs and AI-related methods.
What you'll do
- Develop algorithms and software for the quantum computing ecosystem, and run large-scale GPU-cluster experiments.
- Collaborate with research, product, and external research teams in machine learning, programming systems, and quantum computing.
- Publish and present original research, including at conferences and events.
What they ask for
- Currently pursuing a Ph.D. in Quantum Physics or a related field.
- 1+ years of relevant quantum computing research experience, with a strong research record and well-referenced publications and/or patents.
- Strong foundation in linear algebra and expertise in mathematics for quantum computing and tensor algebraic methods.
- Experience with Python and machine learning frameworks; strong communication and teamwork skills.
Nice to have
- CUDA experience.
- Experience with PyTorch, Tensorflow, or JAX.
Pay
38 USD - 94 USD hourly rate
Tools
Python, CUDA, PyTorch, Tensorflow, JAX, GPUs
AI focus
Research and develop quantum simulation methods, including quantum surrogate modeling and applications of AI and GPUs to quantum computing.
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