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NVIDIA

Designs the chips and software that power AI

Research Scientist New Grad - Electronic Design Automation

AI ResearchConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field, or equivalent experience.
  • Proficiency in at least two of Python, PyTorch, C++, or CUDA.
  • Publications in top electronic design automation and artificial intelligence/machine learning venues.
  • Expertise in electronic design automation algorithms, such as synthesis, physical design, design verification, or timing, combined with publications and project experience applying machine learning or deep learning—including supervised, unsupervised, reinforcement learning, or agentic artificial intelligence—to impactful problems.
  • Ability to communicate technical work through academic presentations or poster sessions and to synthesize and explain complex technical concepts.
  • Ability to collaborate effectively within a research team.

Responsibilities

  • Define and conduct original research across electronic design automation algorithms, VLSI design methodology, and advanced artificial intelligence techniques.
  • Innovate in electronic design automation software and algorithms, applying supervised, unsupervised, and reinforcement learning, agentic artificial intelligence systems, and GPU-accelerated optimization methods.
  • Apply deep learning and GPU computing to improve ASIC and VLSI design tool flows.
  • Collaborate with circuit design, VLSI, and architecture teams to translate research into real-world product impact.
  • Publish and present original research, and speak at conferences and events.
  • Collaborate with external researchers and internal product teams.

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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