What you'll be doing
Research, build, and optimize agentic AI systems for the CUDA ecosystem, including agent architectures, multi-agent workflows, tool use, memory, and orchestration.
Develop data pipelines, environments, verification tools, reward mechanisms, and evaluation frameworks to improve model and agent capabilities through rigorous experimentation.
Co-design and optimize agentic systems across NVIDIA’s software and hardware stack, connecting advances in models and agents with compilers, runtimes, libraries, kernels, and GPUs. Demonstrate measurable improvements in correctness, performance, or developer productivity.
What we need to see
You are pursuing a Master’s, or PhD in Computer Science, Electrical Engineering, or a similar field.
Strong foundations in one or more of the following: AI systems, agentic AI, machine learning, reinforcement learning, high-performance computing, or computer architecture.
Hands-on research or development experience in agent systems, coding agents, model training, reinforcement learning, or modern AI inference systems.
Strong Python programming skills and proficiency in C/C++ or Rust, with solid software engineering fundamentals.
Experience with GPU computing and an interest in performance optimization and working across system boundaries.
Ways To Stand Out From The Crowd
PhD research in a relevant area, with demonstrated ability to formulate research questions, build working implementations, and evaluate them rigorously.
Experience building coding agents, autonomous software-engineering systems, or agent training and evaluation environments.
Hands-on experience with GPU programming and performance optimization, or with systems such as TRT-LLM, SGLang, or vLLM.
Evidence of technical depth and ownership through impactful research prototypes, deployed systems, or substantial open-source contributions. Relevant publications are welcome; we especially value strong engineering and measurable real-world impact.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous researcher/engineer with a real passion for technology, we want to hear from you.
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The expected hourly rate for this position is 20 USD – 94 USD.
You will also be eligible for Intern benefits.
Applications for this job will be accepted at least until November 9, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.
