PhD Research Intern, AI Accelerator Design and VLSI - 2027
$0k - $0k • Remote • US, CA, Santa Clara
Posted 7d ago
Job Location
US, CA, Santa Clara
Tech Stack
Remote Work Policy
Fully remote
Categories
Machine Learning Engineer
About the job
NVIDIA Research is seeking PhD-level students for a research internship focused on AI hardware/software co-design, hardware accelerator architecture, IC design methodology, and VLSI design. The ideal candidate will possess a broad understanding of machine learning fundamentals, quantization and numerical methods for model optimization, digital VLSI circuits, and advanced VLSI design and verification methodologies, including the application of agentic AI to hardware design. This role involves contributing to cutting-edge research in AI accelerators and VLSI design, exploring innovative numerical methods, and potentially collaborating on research prototype testchips.
Responsibilities
- Contribute to novel research advancing the state-of-the-art in the design of accelerators for AI and other high-impact workloads.
- 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.
- 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 original research.
Requirements
- Currently pursuing a PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
- Publication record in leading ML, architecture, VLSI, or circuits conferences.
- Excellent programming skills in Python/PyTorch.
- Proficiency in hardware design languages such as SystemVerilog/C++.
- Experience with High-Level Synthesis (HLS) tools is a plus.
- Experience in hardware design with proficiency with modern EDA tool flows.
- Tapeout experience is a plus.
- Excellent self-motivation, creativity, and passion for research.
- Strong collaboration skills and ability to work effectively within a research team.
- Excellent written and verbal communication skills, with proven experience communicating technical work.
- Ability to synthesize and explain complex technical concepts.
Benefits
- Internship hourly rates based on position, location, year in school, degree, and experience.
- Eligibility for Intern benefits.