About the role#
NVIDIA is looking for a PhD intern to join the cuOpt team for the Fall 2026 term. You will work on GPU-accelerated decision intelligence systems and help build the next generation of optimization platforms.
What you'll do#
- Prototype and develop parallel algorithms for decision optimization problems.
- Perform tuning, optimization, and benchmarking of large-scale parallel numerical software.
- Collaborate with team members to understand software use cases and requirements.
What you'll need#
- Current enrollment in a PhD program for Computer Science or a related field.
- Proficiency in parallel C++ programming and familiarity with CUDA.
- Strong understanding of algorithms and numerical methods in operations research and optimization.
- Experience with mathematical programming, such as linear, quadratic, or mixed-integer models.
- Knowledge of heuristics like genetic algorithms and large neighborhood search.
- Ability to work independently and lead your own development efforts.
Location & details#
- This is a full-time, paid internship located on-site in Santa Clara, California.
- The term for this position is Fall 2026.
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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