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
Python, C/C++, Rust, AI systems, agentic AI, machine learning, reinforcement learning, high-performance computing, computer architecture, GPU computing, software engineering fundamentals
Preferred skills
PhD research experience, coding agents, autonomous software-engineering systems, TRT-LLM, SGLang, vLLM, open-source contributions
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 systems across software and hardware stack.
Seniority
Intern
