NVIDIA is seeking a software engineering intern for its math libraries team, working on cuEST, a CUDA-X math library that accelerates quantum chemistry on NVIDIA GPUs. The library provides accelerated APIs for essential electronic structure computations, beginning with Gaussian-basis quantum chemistry, and supports applications such as drug discovery and semiconductor process development. The team is improving cuEST’s feature set, performance, and technology stack. The intern will work with senior cuEST engineers who will provide mentorship and guidance in developing optimized algorithms and numerical methods for quantum chemistry. Projects may include implementing quantum chemistry primitives, defining APIs, analyzing and improving GPU performance, addressing numerical corner cases, and other software engineering work involved in delivering a production CUDA-X library.
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Job Type
Full-time
Career Level
Intern