PhD Research Intern, AI Accelerator Design and VLSI - 2027
Core
Researching novel AI hardware accelerator architectures, VLSI design techniques, and AI/HW co-design methodologies to optimize machine learning workloads.
Role type
PhD Research Intern (AI Accelerator Design & VLSI)
Builds
Research prototype testchips and novel ASIC/VLSI design flows
Domain
Semiconductor / AI Hardware / VLSI
Deliverable
research
Required skills
Machine learning fundamentals, Quantization and numerical methods, Digital VLSI circuits, SystemVerilog/C++, Python/PyTorch, High-Level Synthesis (HLS), EDA tool flows
Preferred skills
Tapeout experience, Agentic AI for hardware design, Automated design tool flows
Technologies
PyTorch, SystemVerilog, C++, HLS tools, Modern EDA tool flows
Responsibilities
Design accelerators for AI workloads, Research innovative ASIC/VLSI design techniques, Develop numerical methods for quantization and tensor decomposition, Collaborate on research prototype testchips, Plan to publish and present original research
Seniority
PhD Student, Research Intern
