NVIDIA
PhD Research Intern, AI Accelerator Design and VLSI - 2027
US, CA, Santa Clara · Internship · Posted Oct 12, 2026
- Education
- Pursuing a PhD in Electrical Engineering, Computer Engineering, Computer Science, or related field.
About the job
Conduct research on AI accelerator architecture, AI hardware/software co-design, and VLSI methods, including development of research prototype testchips and publication of results.
What you'll do
- Research novel AI accelerators, ASIC/VLSI design techniques, and automated design flows.
- Develop numerical methods for quantization, sparsity, or tensor decomposition grounded in computer arithmetic and digital VLSI circuits.
- Collaborate on research prototype testchips and present or publish original research.
What they ask for
- Pursuing a PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
- Publication record in leading ML, architecture, VLSI, or circuits conferences.
- Programming skills in Python/PyTorch and hardware design languages such as SystemVerilog/C++.
- Hardware design experience and proficiency with modern EDA tool flows.
Nice to have
- Experience with High-Level Synthesis (HLS) tools.
- Tapeout experience.
Pay
38 USD - 94 USD per hour; hourly rate
Tools
Python, PyTorch, SystemVerilog, C++, High-Level Synthesis (HLS) tools, EDA tool flows
AI focus
Research and develop AI accelerators and AI hardware/software co-design methods, applying machine learning and agentic AI to automated ASIC and VLSI design flows.
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