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Research Scientist, Design Automation

1 Month ago • All levels • Research & Development • $160,000 PA - $258,750 PA

Job Summary

Job Description

NVIDIA's Design Automation research group seeks a Research Scientist to apply machine learning (Graph, Generative AI, LLM, Agent) and GPU acceleration to EDA software and ASIC/VLSI design. Responsibilities include researching and developing innovative EDA software and algorithms, collaborating with various teams, publishing research, and presenting at conferences. The role requires a strong background in EDA algorithms, software development, machine learning, and VLSI/circuit design. Proficiency in C, C++, Python, and machine learning frameworks (PyTorch, TensorFlow) is essential, along with CUDA and GPU computing experience.
Must have:
  • Ph.D in EE or related
  • Strong research record
  • EDA algorithms & software development
  • Machine learning expertise
  • VLSI/circuit design knowledge
  • C, C++, Python proficiency
  • Experience with PyTorch/TensorFlow
  • CUDA & GPU computing
Perks:
  • Competitive salary
  • Generous benefits package
  • Equity

Job Details

We are now looking for a Research Scientist – Design Automation!

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement?

NVIDIA Design Automation research group is seeking leading researchers to work on AI for chip design and accelerated computing for EDA. You should have a strong track record of research excellence; systems-building experience; a broad perspective across areas including EDA algorithms and software, machine learning (Graph, Generative AI, LLM, Agent) , and VLSI chip design methodology. Specific areas of research interest include but are not limited to applications of supervised learning, unsupervised learning, reinforcement learning , generative AI, LLM, Agent and GPU acceleration to EDA algorithms.

What you’ll be doing:

  • Apply machine learning (Graph, Generative AI, LLM, Agent) and GPU acceleration to EDA software and ASIC and VLSI design tool flows.

  •  Research and develop creative and innovative EDA software and algorithms.

  • Collaborate with circuits, VLSI, and architecture team members in research and product teams.

  • Publish and present your original research, speak at conferences and events

  • Collaborate with external researchers and a diverse set of internal product teams.

What we need to see:

  • Pursuing Ph.D in EE or related with a strong research record, well-referenced publications and / or patents (or equivalent experience)

  • You should display a strong background in EDA algorithms and software development, machine learning, along with knowledge of VLSI, circuits, IC design, and/or computer micro-architecture fundamentals.

  • Experience with C, C++, Python, and scripting languages.

  • Background with commonly used machine learning frameworks (PyTorch, Tensorflow).

  • Experience with CUDA and GPU computing

  • Strong communication skills needed. Being a creative and dynamic presenter is a huge advantage.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for computer architecture and technology, we want to hear from you!

The base salary range is 160,000 USD - 258,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.


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