PhD Software Engineering Intern, Decision Intelligence - Fall 2026

Prototype and develop parallel algorithms for decision optimization problems

Performance tuning, optimization, and benchmarking of large-scale parallel numerical software

Collaborate with team members to understand software use cases and requirements

Pursuing a PhD degree in Computer Science or a related field

Excellent parallel C++ programming, with familiarity in CUDA programming

Deep understanding of algorithms and numerical methods fundamentals in operations research and optimization

Mathematical programming (linear, quadratic, mixed-integer) and/or fundamentals of heuristics like genetic algorithms and large neighborhood search

Ability to work independently and lead your own development effort

Experience in algorithmic discovery via autoresearch agents and automated code evolution

Track record of relevant open-source contributions in optimization, machine learning, or GPU programming

Understanding of hardware and system architecture, including CPU/GPU/Memory/Storage, and everything related to performance optimization

Proficiency in a scripting language, preferably Python

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

You will also be eligible for Intern benefits . ​

This posting is for an existing vacancy.