PhD Research Intern, Electronic Design Automation - 2027

at Nvidia

USD 38-94 per hour

INTERN

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 3 Agentic AI Algorithms @ 3 CUDA @ 3 Communication @ 3 GPU @ 3 GenAI Generative AI LLM Parallel Programming @ 3 Python @ 3 Reinforcement Learning

Details

NVIDIA Research is seeking PhD-level students to work as research interns and drive groundbreaking research at the intersection of AI, GPU computing, formal methods, and electronic design automation (EDA). AI and GPU acceleration are transforming chip design, and this role offers the opportunity to shape that future. The internship provides a broad perspective across EDA algorithms, agentic AI, large language models (LLMs), and GPU computing.

Specific areas of research interest include GPU-accelerated optimization algorithms, physical design algorithms, formal methods, agentic AI, and reinforcement learning techniques.

Responsibilities

Apply AI—including agentic AI, LLMs, generative AI, and 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 original research.

Requirements

Pursuing a PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
Publications in leading EDA or AI conferences on AI for EDA, formal methods, or GPU-accelerated EDA.
Excellent programming skills in rapid prototyping environments such as Python; C++ and parallel programming, such as CUDA, are a plus.
Expertise in EDA algorithms, including formal verification techniques, logic synthesis, physical design, timing, and signoff, combined with publications and project experience applying AI to impactful problems.
Excellent self-motivation, creativity, passion for research, collaboration skills, and the ability to work effectively within a research team.
Excellent written and verbal communication skills, with proven experience communicating technical work through academic presentations, poster sessions, or similar formats.
Ability to synthesize and explain complex technical concepts.

Benefits

Eligible for NVIDIA intern benefits.
Inclusive work environment and equal employment opportunity.

Applications will be accepted at least until September 27, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.