Senior Research Scientist, AI Accelerator Design and Vlsi

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA

Research Scientist focused on AI accelerator hardware design, VLSI, and AI HW/SW co-design, applying machine learning and generative AI to hardware design flows and optimization techniques like quantization.

What you'd actually do

  1. AI Accelerator Hardware: Contribute to novel research advancing the state-of-the-art in AI accelerator design.
  2. VLSI: Research creative and innovative ASIC and VLSI design techniques and/or novel digital VLSI circuits. Apply machine learning, generative AI, and state-of-the-art tools and methodologies to automated ASIC and VLSI design tool flows.
  3. AI HW/SW Co-Design: Research and develop creative and innovative numerical methods for quantization, sparsity, or tensor decomposition grounded in computer arithmetic fundamentals and digital VLSI circuits.
  4. Collaborate on the development of research prototype testchips.
  5. Collaborate with AI researchers and hardware team members in research and product teams.

Skills

Required

  • PhD in Computer Science, Electrical/Computer Engineering, or related field (or equivalent experience)
  • 3+ years of post-PhD research experience
  • VLSI design
  • computer architecture
  • numerical algorithms for AI model HW/SW co-design
  • hardware design
  • EDA tool flows
  • software tool development
  • Python
  • PyTorch
  • C++
  • SystemVerilog
  • CUDA
  • leading research projects
  • mentoring junior scientists or interns
  • cross-functional initiatives
  • collaboration with academia or industry
  • Excellent written and verbal communication skills
  • presenting at top conferences

Nice to have

  • generative AI to hardware design
  • AI hardware micro-architecture

What the JD emphasized

  • strong record of impactful publications in top circuit, architecture, EDA, or AI/ML venues
  • proven ability to set research direction and translate ideas into tools or products
  • Deep knowledge and 3+ years of post-PhD research experience in either VLSI (e.g., digital VLSI circuits and chip design methodologies), computer architecture, and/or numerical algorithms for AI model HW/SW co-design
  • 5+ years of experience in hardware design with proficiency with modern EDA tool flows
  • 5+ years of experience in software tool development with proficiency in at least two of Python/PyTorch, C++, SystemVerilog, or CUDA

Other signals

  • AI Accelerator Hardware
  • VLSI
  • AI HW/SW Co-Design
  • quantization
  • generative AI to hardware design
  • AI hardware micro-architecture