About the role#
NVIDIA Research is looking for PhD students to join as research interns. You will work at the intersection of AI, GPU computing, Formal Methods, and Electronic Design Automation (EDA). This role focuses on how AI and GPU acceleration change chip design workflows. You will gain experience across EDA algorithms, agentic AI, LLMs, and GPU computing.
What you'll do#
- Apply AI, including agentic AI, LLMs, generative AI, and reinforcement learning, to chip design workflows.
- Research and develop new EDA software and algorithms.
- Work alongside circuits, VLSI, and architecture team members.
- Plan to publish and present your original research.
What you'll need#
- Current pursuit of a PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
- Publications in leading EDA or AI conferences covering topics like AI for EDA, Formal Methods, or GPU-accelerated EDA.
- Strong programming skills in Python for rapid prototyping. Experience with C++ and parallel programming like CUDA is a plus.
- Expertise in EDA algorithms such as formal verification, logic synthesis, physical design, and timing and signoff.
- Project experience applying AI to technical problems.
- Ability to work well in a research team, high self-motivation, and creativity.
- Strong written and verbal communication skills with a history of presenting technical work.
Location & details#
- Location: Santa Clara, California.
- Term: Summer 2027.
- Status: Full-time, paid internship.
- Modality: On-site.
About NVIDIA
NVIDIA operates as a computer hardware manufacturer based in Santa Clara, California. Founded in 1993, the company focuses on accelerated computing and graphics technology. It produces hardware for markets including artificial intelligence, gaming, and data centers. The organization employs over 50,000 people and maintains a global presence.
How to get in at NVIDIA
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