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Research Scientist, AI Accelerator Design and VLSI - New College Grad 2026

NVIDIA· Research Staff Member
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Santa Clara, CA$168k - $264.5kfull-timePosted 7mo ago

About the role

Research scientist role at NVIDIA Research focusing on AI accelerator design, VLSI design techniques, and AI HW/SW co-design for new college graduates (Class of 2026).

Responsibilities

  • AI Accelerator Hardware: Contribute to novel research advancing the state-of-the-art in AI accelerator design.

Qualifications

  • PhD in Computer Science, Electrical/Computer Engineering, or related field (or equivalent experience)
  • VLSI Implementation Skills: Experience in hardware design with proficiency with modern EDA tool flows
  • Programming & Systems Skills: Proficiency in at least two of Python, PyTorch, C++, SystemVerilog, or CUDA
  • Publications in top circuit, architecture, and/or AI/ML venues
  • Domain & Technical Expertise: 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
  • Excellent self-motivation, a high degree of creativity, and a passion for research, collaboration skills and the ability to work effectively within a research team
  • Excellent written and verbal communication skills, with proven experience communicating technical work (e.g., academic presentations, poster sessions); ability to synthesize and explain complex technical concepts

Skills

Required:PhD-level domain expertiseVLSI ImplementationProgramming & Systems

Benefits

  • equity
  • benefits (as listed on NVIDIA benefits page)
Last updated Jul 3, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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