Research and Engineering Intern, Agentic Systems Intelligence

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    NVIDIA

    10,001+ employeesFounded 1993Santa Clara, CAComputer Hardware Manufacturing
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    About the role#

    NVIDIA is looking for a Research and Engineering Intern to join the Agentic Systems Intelligence team. This team builds high-performance AI systems for the CUDA ecosystem. You will work across the full stack, from model training and agent architecture design to the runtimes and evaluation frameworks that support them at scale. You will investigate research questions and turn them into working systems that reason about, generate, and optimize across our accelerated computing stack.

    What you'll do#

    • Research, build, and optimize agentic AI systems, including architectures, multi-agent workflows, tool use, memory, and orchestration.
    • Develop data pipelines, verification tools, reward mechanisms, and evaluation frameworks to improve model and agent capabilities through experimentation.
    • Co-design and optimize systems across the software and hardware stack, connecting models and agents with compilers, runtimes, libraries, kernels, and GPUs.
    • Demonstrate measurable improvements in 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 foundation in 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, or modern AI inference systems.
    • Proficiency in Python and C/C++ or Rust, along with solid software engineering fundamentals.
    • Experience with GPU computing and an interest in performance optimization across system boundaries.
    • Preferred: PhD research experience, experience with systems like TRT-LLM, SGLang, or vLLM, and a history of impactful research prototypes or open-source contributions.

    Location & details#

    • Term: Summer 2027.
    • Locations: Santa Clara, California; Austin, Texas; or Redmond, Washington.
    • Modality: This is a full-time, on-site internship.
    • Compensation: This is a paid position.

    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.

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