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Applied Machine Learning Engineer, AI for VLSI Design - New College Grad 2026
NVIDIA
US, CA, Santa Clara · On-site · relocation$9,667–19,167 gross/mofull-timeNVIDIA Careers (offices abroad)
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.
Responsibilities
- Work within a multi-functional team on various projects involving Pre-silicon and Post Silicon custom circuit design and related data, Circuit/Layout Optimization and Spice correlation.
- Research and implement techniques on frontier solutions of electronic design automation.
- Build and innovate agentic AI solution for VLSI design problem.
- Responsible for analyzing the problem or datasets, raise and validate hypotheses, design and build models and algorithm until they reach the desired QOR.
- What we need to see
- MS or PhD in Electrical/Computer Engineering degree (or equivalent experience).
- Experience in the following fields is a strict requirement for this role: Combinatorial Optimization, Agentic AI and large language models, Machine Learning for Chip
- Design & EDA
- Background in Algorithms/Data Structures.
- Experience in Applied Math/Machine Learning/Software programming with shown ability in writing code in Python, C++.
Languages
- Work format
- On-site
- Seniority
- Junior
- Posted
- 29 Sept 2026
- Last verified
- In the last 5 days
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