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PhD Research Intern, AI Accelerator Design and VLSI - 2027

NVIDIA· Intern
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Santa Clara, CA$38/hr - $94/hrinternPosted 3w ago

About the role

PhD-level internship focused on AI HW/SW co-design, accelerator architecture, and VLSI design for AI workloads with opportunities to publish and collaborate with AI researchers and hardware teams.

Responsibilities

  • Accelerator Design: Contribute to novel research advancing the state-of-the-art in the design of accelerators for AI and other high-impact workloads.
  • VLSI: Research creative and innovative ASIC and VLSI design techniques and/or novel digital VLSI circuits. Apply machine learning, agentic AI, and state-of-the-art tools and methodologies to automated ASIC and VLSI design tool flows.
  • 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.
  • Collaborate on the development of research prototype testchips.
  • Collaborate with AI researchers and hardware team members in research and product teams.
  • Plan to publish and present your original research.

Qualifications

  • Pursuing a PhD in Electrical Engineering, Computer Engineering, Computer Science, or related field.
  • Publication records in leading ML, architecture, VLSI, or circuits conferences.
  • Excellent programming skills in Python/PyTorch and hardware design languages such as SystemVerilog/C++; Experience with High-Level Synthesis (HLS) tools is a plus.
  • VLSI Implementation Skills: Experience in hardware design with proficiency with modern EDA tool flows; Tapeout experience is a plus.
  • 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:PythonPyTorchSystemVerilog/C++EDA tool flowsCommunication
Nice to have:HLS tools

Benefits

  • Intern benefits (see link): https://www.nvidia.com/en-us/benefits/interns/
Last updated Oct 16, 2026. Interested? Apply on the company site.

About NVIDIA

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

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