Applied Machine Learning Engineer, AI for VLSI Design - New College Grad 2026

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. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Our team builds AI-driven software systems for Circuit Design: combining automation algorithms, DL models and agentic workflows to accelerate end-to-end design automation. Come join this integral team in our Circuit Solutions Group!

What you'll be doing:

• 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++.

Ways to stand out from the crowd:

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