PhD Research Intern: AI, GPU & EDA Innovations

NVIDIA Corporation

Santa Clara (CA)

On-site

USD 52,000 - 129,000

Full time

7 days ago
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Benefits offered by this job

Intern benefits

Job summary

NVIDIA Corporation in Santa Clara, CA seeks PhD-level research interns to explore AI, GPU computing, and EDA. You will work across EDA algorithms, agentic AI, LLMs, and GPU computing with teams across circuits, VLSI, and architecture.

You will apply AI and GPU acceleration to chip design workflows, develop innovative EDA software, collaborate with cross-disciplinary teams, and plan to publish your research findings.

Qualifications

  • Pursuing a PhD in Electrical Engineering, Computer Engineering, Computer Science, or related fields.
  • 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 (e.g., CUDA) is a plus.
  • Expertise in EDA (e.g., formal verification techniques, logic synthesis, physical design, and timing and signoff) algorithms combined with publications and project experience applying AI to impactful problems.
  • Excellent self-motivation, a high degree of creativity, and a 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 (e.g., academic presentations, poster sessions).

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
Publications
Communication
Team collaboration

Education

PhD in Electrical Engineering, Computer Engineering, or Computer Science

Tools

CUDA Toolkit
Git

Job description

NVIDIA Corporation in Santa Clara, CA seeks PhD-level research interns to explore AI, GPU computing, and EDA. You will work across EDA algorithms, agentic AI, LLMs, and GPU computing with teams across circuits, VLSI, and architecture.

You will apply AI and GPU acceleration to chip design workflows, develop innovative EDA software, collaborate with cross-disciplinary teams, and plan to publish your research findings.

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