PhD Software Engineering Intern, Decision Intelligence - Fall 2026

at Nvidia

USD 30-94 per hour

INTERN

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI Algorithms @ 6 CUDA @ 2 GPU @ 3 GenAI Generative AI Machine Learning @ 3 Performance Optimization @ 3 Python @ 5 System Architecture @ 3

Details

NVIDIA's cuOpt team is developing a GPU-accelerated, open-source platform for decision intelligence. This internship focuses on decision optimization, generative AI, and advanced parallel computing techniques.

Responsibilities

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.

Requirements

Pursuing a PhD in Computer Science or a related field.
Excellent parallel C++ programming skills, with familiarity in CUDA programming.
Deep understanding of algorithms and numerical methods fundamentals in operations research and optimization.
Knowledge of mathematical programming, including linear, quadratic, and mixed-integer programming, and/or heuristics such as genetic algorithms and large neighborhood search.
Ability to work independently and lead an individual development effort.

Preferred Qualifications

Experience with algorithmic discovery using autoresearch agents and automated code evolution.
Relevant open-source contributions in optimization, machine learning, or GPU programming.
Understanding of hardware and system architecture, including CPU, GPU, memory, and storage, as well as performance optimization.
Proficiency in a scripting language, preferably Python.

Benefits

Competitive salary.
Comprehensive benefits package.
Intern benefits.
NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer.

The internship hourly rate is USD 30–94, based on the position, location, year in school, degree, and experience. Applications will be accepted at least until May 26, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.