Senior Research Scientist – AI for EDA & GPU Design

NVIDIA Corporation

United States

On-site

USD 192,000 - 357,000

Full time

5 days ago
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Job summary

NVIDIA Corporation in the United States is seeking a Senior Research Scientist to drive groundbreaking research at the intersection of AI, GPU computing, and EDA. You will define and conduct original research across EDA algorithms, VLSI design methodology, and advanced machine learning techniques.

Collaborate with circuit design, VLSI and architecture teams to translate research into real-world product impact, publish in top venues, and lead cross-functional initiatives.

Qualifications

  • PhD in CS/EE or related field with 2+ years post-PhD research and strong publication record.
  • Deep knowledge in EDA/VLSI with AI/GPU acceleration applied to large-scale problems.
  • 5+ years software development experience and HPC skills.
  • Experience leading research projects and mentoring.
  • Excellent communication and ability to publish/present.

Responsibilities

  • Define and conduct original research across EDA algorithms, VLSI design methodology, and advanced machine learning techniques.
  • Innovate in EDA software and algorithms, with applications spanning supervised, unsupervised, and reinforcement learning, as well as GPU-accelerated optimization methods.
  • Collaborate cross-functionally with circuit design, VLSI, and architecture teams, ensuring research translates into real-world product impact.
  • Engage with the global research community by publishing in premier conferences and presenting at leading venues.
  • Foster collaboration with external researchers and diverse internal product teams to amplify research outcomes.

Skills

Research leadership
Publications
AI/ML techniques
GPGPU computing

Education

PhD in Computer Science / Electrical Engineering

Job description

NVIDIA Corporation in the United States is seeking a Senior Research Scientist to drive groundbreaking research at the intersection of AI, GPU computing, and EDA. You will define and conduct original research across EDA algorithms, VLSI design methodology, and advanced machine learning techniques.

Collaborate with circuit design, VLSI and architecture teams to translate research into real-world product impact, publish in top venues, and lead cross-functional initiatives.

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