Quantum Computing Research Intern - GPU-Accelerated AI

NVIDIA Corporation; Santa Clara (CA); On-site; USD 52,000 - 129,000; Full time

Benefits offered by this job

Intern benefits

Job summary

NVIDIA Corporation seeks a PhD candidate in Quantum Physics to advance simulation and AI for quantum computing. You will build algorithms and software for the quantum ecosystem, collaborate with ML and systems teams, and publish your research.

You will run large GPU-based experiments and engage with external researchers to push the state of the art. Ideal candidates have strong linear algebra skills, experience with Python/CUDA, and a track record of publications or patents.

Qualifications

• PhD candidate in Quantum Physics or related field.
• Strong background in linear algebra.
• Experience with Python and CUDA.
• Experience with ML frameworks (PyTorch, TensorFlow, JAX).
• Excellent communication and teamwork.

Responsibilities

• Research and develop creative algorithms and software systems for the quantum computing ecosystem.
• Collaborate with research and product teams in ML, 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 GPU clusters to advance quantum computing simulation.

Skills

Python

CUDA

PyTorch

TensorFlow

JAX

Linear algebra

Teamwork

Education

PhD Candidate in Quantum Physics

Tools

CUDA toolkit

Job description

NVIDIA Corporation seeks a PhD candidate in Quantum Physics to advance simulation and AI for quantum computing. You will build algorithms and software for the quantum ecosystem, collaborate with ML and systems teams, and publish your research.

You will run large GPU-based experiments and engage with external researchers to push the state of the art. Ideal candidates have strong linear algebra skills, experience with Python/CUDA, and a track record of publications or patents.