PhD Software Engineering Intern, Decision Intelligence - Fall 2026
About The Position
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Are you passionate about decision optimization, genAI, and advanced parallel computing techniques? NVIDIA's cuOpt team is at the forefront of redefining decision-making systems with a GPU-accelerated open-source platform. If you are looking for a place where you can apply your outstanding skills and make a meaningful impact, this is the opportunity for you! Join us to help build the future of decision intelligence.
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
Nice To Haves
- 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
Responsibilities
- 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
Benefits
- Highly competitive salaries
- Comprehensive benefits package
- Intern benefits
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
Ph.D. or professional degree
