Applied Machine Learning Engineer - AI For Vlsi Design

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.

Machine Learning, Artificial Intelligence (AI), VLSI, Autonomous Driving Systems, GPU (Graphics Processing Unit), Artificial Intelligence (AI), Automation, Circuit Design, Algorithms, SPICE (Simulation Program with Integrated Circuit Emphasis), * MS (or equivalent experience) with 3+ years’ experience or PhD with 1+ years’ experience in Electrical/Computer Engineering degree

• 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
• Experience in Algorithms/Data Structures/Applied Math/Machine Learning/Software programming with proven ability in writing code in Python, C++ is required.
• Experience in Applied Math/Machine Learning/Software programming with proven ability in writing code in Python, C++ is required

Ways to stand out from the crowd:

• Prior experience in large-scale EDA software development is a plus.
• Prior experience in CMOS layout drawing, including schematic-to-layout translation and DRC/LVS compliance, is a definite plus
• Enjoy working with multiple levels and teams across organizations (engineering/research, product, sales and marketing teams)
• Effective verbal/written communication, and technical presentation skills
• Self-starter with passion for growth, real enthusiasm for continuous learning and sharing findings across the team

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:

152,000 USD - 230,000 USD for Level 3; and 168,000 USD - 264,500 USD for Level 4.

You will also be eligible for equity and benefits.

NVIDIA is a pioneer in bringing groundbreaking technology to new markets. We have some of the most forward-thinking and hardworking people in the world working with us. If you’re creative and autonomous, we want to hear from you!