PhD Software Engineering Intern, Decision Intelligence - Fall

NVIDIA is seeking experienced researchers to develop GPU‑accelerated decision optimization platforms in our cuOpt team. This role will help build the future of decision intelligence.

• Prototype and develop parallel algorithms for decision optimization problems.
• Tune, optimize, and benchmark large‑scale parallel numerical software.
• Collaborate with team members to understand software use cases and requirements.

• PhD candidate or holder in Computer Science or a related field.
• Excellent parallel C++ programming skills with familiarity in CUDA programming.
• Deep understanding of algorithms, numerical methods, and operations research fundamentals.
• Experience with mathematical programming (linear, quadratic, mixed‑integer) and/or heuristic methods such as genetic algorithms and large neighborhood search.
• Ability to work independently and lead one’s own development effort.

• Experience with algorithmic discovery via autonomous research agents and automated code evolution.
• Track record of open‑source contributions in optimization, machine learning, or GPU programming.
• Understanding of hardware and system architecture, including CPU/GPU/Memory/Storage and performance optimization.
• Proficiency in a scripting language, preferably Python.

NVIDIA offers highly competitive salaries and a comprehensive benefits package.

Applications are being accepted until May 26, 2026.

NVIDIA is committed to fostering a diverse work environment and is proud to be an equal‑opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.