Description
NVIDIA is seeking an outstanding Research & Engineering Intern to join the Agentic Systems Intelligence (ASI) team. This team is focused on advancing high-performance AI and building the next generation of agentic AI systems for the CUDA ecosystem.
The successful candidate will investigate open-ended research questions and turn promising ideas into working systems that can reason about, generate, optimize, and operate across NVIDIA's accelerated computing stack. Responsibilities include:
- Researching, building, and optimizing agentic AI systems for the CUDA ecosystem, including agent architectures, multi-agent workflows, tool use, memory, and orchestration.
- Developing data pipelines, environments, verification tools, reward mechanisms, and evaluation frameworks to improve model and agent capabilities through rigorous experimentation.
- Co-designing and optimizing agentic systems across NVIDIA's software and hardware stack, connecting advances in models and agents with compilers, runtimes, libraries, kernels, and GPUs.
Requirements:
- 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.
The internship offers competitive hourly rates ranging from 20 USD to 94 USD, depending on the position, location, year in school, degree, and experience. Additionally, interns will be eligible for benefits.
Applications for this job will be accepted until November 9, 2026.
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