About the role#
The math libraries team is looking for an intern to help build cuEST, a CUDA-X library that accelerates quantum chemistry on NVIDIA GPUs. You will work with senior engineers to develop optimized algorithms and numerical methods for electronic structure computations. Your work will contribute to a library used for applications ranging from drug discovery to semiconductor process development.
What you'll do#
- Prototype and develop GPU-accelerated algorithms for Gaussian-basis quantum chemistry primitives.
- Analyze the performance of CUDA implementations to identify and execute improvements.
- Contribute to the full engineering lifecycle, from initial design and testing to shipping production-ready code.
- Collaborate with team members and stakeholders to understand how quantum chemistry applications utilize cuEST.
What you'll need#
- Pursuing a BS, MS, or PhD in Computational Chemistry, Computational Physics, Computer Science, Applied Math, or a related field.
- Proficiency in C/C++ or Python, including debugging, performance analysis, and test design.
- Strong fundamentals in algorithms and numerical methods.
- Ability to work independently and lead your own development tasks.
- Good communication, teamwork, and documentation skills.
- Experience with GPU programming (CUDA or OpenCL) is a plus.
- Coursework or research in quantum chemistry or electronic structure theory is helpful.
- Knowledge of floating-point arithmetic, numerical error analysis, and CPU or GPU hardware architecture.
- Experience using agentic AI tools for software development.
Location & details#
- Location: Santa Clara, California
- Term: Summer 2027
- Modality: On-site
- Employment: Full time
About NVIDIA
NVIDIA operates as a computer hardware manufacturer based in Santa Clara, California. Founded in 1993, the company focuses on accelerated computing and graphics technology. It produces hardware for markets including artificial intelligence, gaming, and data centers. The organization employs over 50,000 people and maintains a global presence.
How to get in at NVIDIA
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