About the role#
The Agentic Systems Intelligence team is looking for a Research and Engineering Intern for Summer 2027. You will work on advancing high-performance AI by building agentic systems for the CUDA ecosystem. This role involves working across the full stack, from model training and agent architectures to the runtimes and evaluation frameworks that support them at scale. You will investigate research questions and build systems that operate across the NVIDIA accelerated computing stack.
What you'll do#
- Research, build, and optimize agentic AI systems, including multi-agent workflows, tool use, memory, and orchestration.
- Develop data pipelines, reward mechanisms, and evaluation frameworks to improve agent capabilities through experimentation.
- Co-design systems across the software and hardware stack, connecting models and agents with compilers, libraries, kernels, and GPUs.
- Demonstrate measurable improvements in system correctness, performance, or developer productivity.
What you'll need#
- Currently pursuing a Master’s or PhD in Computer Science, Electrical Engineering, or a related field.
- Strong foundations in AI systems, machine learning, reinforcement learning, high-performance computing, or computer architecture.
- Hands-on experience in agent systems, coding agents, model training, or modern AI inference systems.
- Strong Python programming skills and proficiency in C, C++, or Rust.
- Solid software engineering fundamentals and experience with GPU computing.
- An interest in performance optimization and working across system boundaries.
- Preferred: PhD research experience, experience with coding agents or autonomous software systems, and hands-on work with tools like TRT-LLM, SGLang, or vLLM.
- Preferred: Evidence of technical depth through research prototypes, deployed systems, or open-source contributions.
Location & details#
- This is a full-time, paid internship for Summer 2027.
- The role is based on-site in Santa Clara, California; Austin, Texas; or Redmond, Washington.
- Compensation ranges from 20 USD to 94 USD per hour, based on location, education, and experience.
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.
