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NVIDIA

Designs the chips and software that power AI

PhD Research Intern - Electronic Design Automation

AI ResearchConfirmed live in the last 24 hours
Internship$38 - $94 /hrIn-person

About the Job

Requirements

  • Pursuing a PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
  • Have publications in leading EDA or AI conferences on AI for EDA, Formal Methods, or GPU-accelerated EDA.
  • Have excellent programming skills in rapid prototyping environments such as Python; C++ and parallel programming such as CUDA are a plus.
  • Have expertise in EDA algorithms, including formal verification techniques, logic synthesis, physical design, and timing and signoff, combined with publications and project experience applying AI to impactful problems.
  • Have proven experience communicating technical work through academic presentations or poster sessions, and be able to synthesize and explain complex technical concepts.

Responsibilities

  • Apply AI, including Agentic AI, LLMs, Generative AI, and reinforcement learning, and GPU acceleration to chip design workflows.
  • Research and develop 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.

Desired Qualifications

  • C++ and parallel programming such as CUDA.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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