PhD Research Intern: AI Accelerator & VLSI Innovation

NVIDIA; Santa Clara (CA); On-site; USD 52,000 - 129,000; Full time

Benefits offered by this job

Intern benefits

Competitive pay

Job summary

NVIDIA Research invites PhD-level students to join as research interns at the intersection of AI hardware/software co-design, VLSI design methodology, and computer arithmetic. You will work on accelerators for AI workloads and collaborate with AI researchers and hardware teams.

You will publish original research, contribute to prototype test chips, and use Python/PyTorch along with SystemVerilog/C++. Intern hourly pay ranges from 38 to 94 USD, with eligible benefits.

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 experience with modern EDA tool flows; Tapeout experience is a plus.
• Excellent written and verbal communication and collaboration skills.

Responsibilities

• Accelerator Design: contribute to novel research advancing AI accelerator design.
• VLSI: develop novel ASIC/VLSI design techniques and digital circuits; apply ML and agentic AI to design tool flows.
• AI HW/SW Co-Design: research numerical methods for quantization, sparsity, tensor decomposition in computer arithmetic fundamentals.
• Collaborate on development of research prototype test chips.
• Collaborate with AI researchers and hardware teams in research and product contexts.
• Plan to publish and present original research.

Skills

Python

PyTorch

SystemVerilog

C++

HLS

EDA tool flows

Tapeout experience

Education

PhD in Electrical Engineering, Computer Engineering, Computer Science, or related field

Tools

High-Level Synthesis (HLS) tools

EDA tool flows

VLSI CAD tools

Job description

NVIDIA Research invites PhD-level students to join as research interns at the intersection of AI hardware/software co-design, VLSI design methodology, and computer arithmetic. You will work on accelerators for AI workloads and collaborate with AI researchers and hardware teams.

You will publish original research, contribute to prototype test chips, and use Python/PyTorch along with SystemVerilog/C++. Intern hourly pay ranges from 38 to 94 USD, with eligible benefits.