AI-Driven EDA Research Scientist (PhD) | GPU & DL Equity

NVIDIA Corporation; Santa Clara (CA); On-site; USD 168,000 - 265,000; Full time

Job summary

NVIDIA Research is seeking a world-class new college grad PhD researcher to drive groundbreaking work at the intersection of AI, GPU computing, and Electronic Design Automation (EDA) in Santa Clara, CA. The role focuses on advancing EDA algorithms, VLSI design methods, and GPU-accelerated optimization.

You will publish your original research, present at conferences, and collaborate with circuit, VLSI, and architecture teams to translate research into real-world product impact.

Qualifications

• PhD in Computer Science, Electrical/Computer Engineering, or related field.
• Proficiency in Python, PyTorch, C++, or CUDA (two or more).
• Publications in top EDA and AI/ML venues.
• Experience applying ML to EDA or chip design problems.
• Excellent written and verbal communication skills.

Responsibilities

• Define and conduct original research across EDA, VLSI design, and AI.
• Innovate in EDA software and algorithms with GPU-accelerated methods.
• Apply deep learning to improve ASIC/VLSI design tool flows.
• Collaborate cross-functionally with circuit design, VLSI, and architecture teams.
• Publish and present research at conferences and events.
• Collaborate with external researchers and internal product teams.

Skills

Python

PyTorch

C++

CUDA

Education

PhD in Computer Science / Electrical/Computer Engineering

Job description

NVIDIA Research is seeking a world-class new college grad PhD researcher to drive groundbreaking work at the intersection of AI, GPU computing, and Electronic Design Automation (EDA) in Santa Clara, CA. The role focuses on advancing EDA algorithms, VLSI design methods, and GPU-accelerated optimization.

You will publish your original research, present at conferences, and collaborate with circuit, VLSI, and architecture teams to translate research into real-world product impact.