NVIDIA is seeking a Research & Engineering Intern to join the Agentic Systems Intelligence team, which focuses on advancing high-performance AI systems. The intern will work on developing agentic AI systems for the CUDA ecosystem, engaging in research and engineering across the full stack. This role involves investigating open-ended research questions and creating systems that can reason, generate, and optimize within NVIDIA's accelerated computing stack. The intern will collaborate closely with various teams to enhance NVIDIA products.

• You are pursuing a Master’s or PhD in Computer Science, Electrical Engineering, or a similar field.
• You have strong foundations in AI systems, agentic AI, machine learning, reinforcement learning, high-performance computing, or computer architecture.
• You possess hands-on research or development experience in agent systems, coding agents, model training, or modern AI inference systems.
• You have strong Python programming skills and proficiency in C/C++ or Rust.
• You have experience with GPU computing and an interest in performance optimization.

• Research, build, and optimize agentic AI systems for the CUDA ecosystem.
• Develop data pipelines, environments, verification tools, reward mechanisms, and evaluation frameworks.
• Co-design and optimize agentic systems across NVIDIA’s software and hardware stack.
• Demonstrate measurable improvements in correctness, performance, or developer productivity.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.