About the role#
NVIDIA Research is looking for PhD students to join as interns. You will work at the intersection of AI, GPU computing, Formal Methods, and Electronic Design Automation. This role focuses on how AI and GPU acceleration change chip design. You will gain experience across EDA algorithms, agentic AI, LLMs, and GPU computing.
What you'll do#
- Apply AI techniques like agentic AI, LLMs, generative AI, and reinforcement learning to chip design workflows.
- Research and develop new EDA software and algorithms.
- Work with circuits, VLSI, and architecture team members across research and product groups.
- Plan to publish and present your original research.
What you'll need#
- Current enrollment in a PhD program for Electrical Engineering, Computer Engineering, Computer Science, or a related field.
- Publications in leading EDA or AI conferences regarding 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, including formal verification, logic synthesis, physical design, and timing and signoff.
- Project experience applying AI to technical problems.
- Strong communication skills with a track record of presenting technical work.
- Self-motivation, creativity, and a focus on collaboration.
Location & details#
- Location: Santa Clara, California.
- Employment: Full-time internship.
- Compensation: The expected hourly rate is 38 USD to 94 USD, based on location, experience, and degree level.
- Applications are accepted until November 3, 2026.
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
Applying early gives you a distinct advantage at NVIDIA because recruiters review applications as they arrive. Intern Insider sends an instant alert the moment a role matching your target is published, so you can apply among the first before the pile grows. Getting your resume in front of a human early is often the difference between a screening call and a rejection. You can use Intern Insider to surface the recruiters behind NVIDIA roles to reach out directly. Asking a recruiter about the role or a referral materially improves your response rates compared to submitting into a general queue. It is a simple way to make your application stand out in a competitive process.
