NVIDIA
Applied Machine Learning Engineer - AI for VLSI Design
$152K–$264K
US, CA, Santa Clara · Full-time · Posted Oct 19, 2026
- Experience
- 3+ years with an MS (or equivalent experience), or 1+ years with a PhD.
- Education
- MS (or equivalent experience) or PhD in Electrical/Computer Engineering.
About the job
Develop AI-driven software and optimization methods for VLSI circuit design and electronic design automation.
What you'll do
- Research and implement frontier electronic design automation techniques.
- Build agentic AI solutions for VLSI design problems.
- Analyze circuit-design problems and datasets, develop and validate hypotheses, and build models and algorithms to achieve desired QOR.
What they ask for
- MS (or equivalent experience) and 3+ years’ experience, or PhD and 1+ years’ experience, in Electrical/Computer Engineering.
- Experience in Combinatorial Optimization, Agentic AI and large language models, and Machine Learning for Chip Design & EDA.
- Experience with algorithms, data structures, applied math, machine learning, and software programming.
- Proven ability to write code in Python and C++.
Nice to have
- Prior experience in large-scale EDA software development.
- Prior experience in CMOS layout drawing, including schematic-to-layout translation and DRC/LVS compliance.
Pay
152,000 USD - 230,000 USD base salary (Level 3); 168,000 USD - 264,500 USD base salary (Level 4)
Tools
Python, C++, large language models, EDA, Spice
AI focus
Build agentic AI solutions and machine-learning models for VLSI design and electronic design automation.
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