About the role#
The Decision Intelligence team at NVIDIA is focused on redefining decision-making systems through GPU-accelerated platforms. This internship provides an opportunity to contribute to the development of parallel algorithms and large-scale numerical software within the cuOpt team.
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 analyze software use cases and technical 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 foundation in algorithms and numerical methods relevant to operations research and optimization.
- Knowledge of mathematical programming, such as linear, quadratic, or mixed-integer programming, or heuristics like genetic algorithms and large neighborhood search.
- Ability to work independently and manage your own development projects.
Location & details#
- Location: Santa Clara, California.
- Term: Fall 2026.
- Modality: On-site.
- Employment: Full-time paid internship.
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
Applying early gives you a distinct advantage at NVIDIA because recruiters review applications as they arrive. Intern Insider sends an instant alert the moment a role matching your target is published, so you can apply among the first before the pile grows. Getting your resume in front of a human early is often the difference between a screening call and a rejection. You can use Intern Insider to surface the recruiters behind NVIDIA roles to reach out directly. Asking a recruiter about the role or a referral materially improves your response rates compared to submitting into a general queue. It is a simple way to make your application stand out in a competitive process.
