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Senior Research Scientist, AI Accelerator Design and VLSI

NVIDIA
April 09, 2026
Full-time
On-site
Santa Clara, California, United States
$192,000 - $304,750 USD yearly
Level - Senior

Role Summary

NVIDIA is seeking a Senior Research Scientist to drive groundbreaking research in AI hardware/software co-design, AI Hardware Accelerator Architecture, IC design methodology, and VLSI design.

Experience Level

Senior level with a PhD and 3+ years of post-PhD research experience.

Responsibilities

The Senior Research Scientist will be responsible for:

  • Contributing to AI accelerator hardware research to advance state-of-the-art designs.
  • Researching innovative ASIC and VLSI design techniques, applying machine learning and generative AI.
  • Developing numerical methods for quantization and sparsity grounded in computer arithmetic and digital VLSI.
  • Collaborating on the development of research prototype test chips.
  • Working with AI researchers and hardware team members.
  • Publishing and presenting original research at conferences.

Requirements

We require the following qualifications:

  • A PhD in Computer Science, Electrical/Computer Engineering, or related field with a strong publication record.
  • 3+ years of research experience in VLSI, computer architecture, or numerical algorithms for AI.
  • 5+ years of hardware design experience with modern EDA tool flows.
  • Proficiency in programming with at least two of Python/PyTorch, C++, SystemVerilog, or CUDA.
  • Experience in leading research projects and mentoring junior scientists.
  • Excellent communication and presentation skills.

Education Requirements

A PhD in a relevant field is required.


About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.

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Date Posted: 2026-04-09