PhD EDA & AI Research Intern — GPU-Accelerated Design

NVIDIA; Santa Clara (CA); On-site; USD 52,000 - 129,000; Full time

Benefits offered by this job

Intern benefits

Job summary

NVIDIA Research in Santa Clara, CA is seeking PhD-level students for research internships at the intersection of AI, GPU computing, Formal Methods, and EDA. You will explore GPU-accelerated algorithms and publish your work.

You will collaborate with circuits, VLSI, and architecture teams, plan to publish, and gain experience in AI for EDA, agentic AI, LLMs, and reinforcement learning. The internship offers hourly pay and intern benefits, with applications accepted until Sept 27, 2026.

Qualifications

• Pursuing a PhD in Electrical Engineering, Computer Engineering, Computer Science, or related fields.

Responsibilities

• Apply AI (Agentic AI, LLMs, Generative AI, Reinforcement learning) and GPU acceleration to chip design workflows.
• Research and develop creative and innovative EDA software and algorithms.
• Collaborate with circuits, VLSI, and architecture team members in research and product teams.
• Plan to publish and present your original research.

Skills

Python

C++

CUDA

Education

PhD in Electrical Engineering

PhD in Computer Engineering

PhD in Computer Science

Tools

CUDA Toolkit

Job description

NVIDIA Research in Santa Clara, CA is seeking PhD-level students for research internships at the intersection of AI, GPU computing, Formal Methods, and EDA. You will explore GPU-accelerated algorithms and publish your work.

You will collaborate with circuits, VLSI, and architecture teams, plan to publish, and gain experience in AI for EDA, agentic AI, LLMs, and reinforcement learning. The internship offers hourly pay and intern benefits, with applications accepted until Sept 27, 2026.