Research and Engineering Intern, Agentic Systems Intelligence – Summer 2027
Core
Research and build agentic AI systems for the CUDA ecosystem, focusing on agent architectures, multi-agent workflows, and high-performance computing.
Role type
Research and Engineering Intern (Agentic Systems Intelligence)
Builds
Next-generation agentic AI systems, runtimes, and evaluation frameworks for NVIDIA's accelerated computing stack.
Domain
AI Systems / High-Performance Computing / GPU Computing
Deliverable
production ML models
Required skills
AI systems, agentic AI, machine learning, reinforcement learning, high-performance computing, computer architecture, Python, C/C++, Rust, GPU computing, software engineering fundamentals
Preferred skills
PhD research in relevant areas, building coding agents, autonomous software-engineering systems, GPU programming, performance optimization, experience with TRT-LLM, SGLang, or vLLM
Technologies
CUDA, Python, C/C++, Rust, TRT-LLM, SGLang, vLLM
Responsibilities
Research, build, and optimize agentic AI systems including agent architectures and multi-agent workflows; Develop data pipelines, environments, and evaluation frameworks; Co-design and optimize agentic systems across software and hardware stack.
Seniority
Intern
