4 days ago
Austin, TX, USA +2 moreIntern
H1B sponsor
Responsibilities
- Research, build, and optimize agentic AI systems for the CUDA ecosystem, including agent architectures, multi-agent workflows, tool use, memory, and orchestration.
- Develop data pipelines, environments, verification tools, reward mechanisms, and evaluation frameworks for model and agent capabilities.
- Co-design and optimize systems across NVIDIA’s software and hardware stack, including compilers, runtimes, libraries, kernels, and GPUs.
- Demonstrate measurable improvements in correctness, performance, or developer productivity and collaborate with software, model, and hardware teams.
Requirements
- Pursuing a Master’s or PhD in Computer Science, Electrical Engineering, or a similar field.
- Strong foundations in one or more of AI systems, agentic AI, machine learning, reinforcement learning, high-performance computing, or computer architecture.
- Hands-on research or development experience with 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 interest in performance optimization and working across system boundaries.
- Preferred qualifications include relevant PhD research, coding-agent or autonomous software-engineering system experience, GPU programming and performance optimization, TRT-LLM, SGLang, vLLM, impactful research prototypes, deployed systems, open-source contributions, or publications.
Benefits
- Expected hourly rate is 20 USD – 94 USD.
- Eligible for Intern benefits.
- Summer 2027 internship; applications accepted at least until November 9, 2026.
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.