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AI Job Summary

Develop AI-driven automation systems for circuit design, combining machine learning models and algorithms to accelerate VLSI design processes. Requires an MS or PhD in Electrical or Computer Engineering with strict experience in combinatorial optimization, agentic AI, large language models, and machine learning for chip design. Strong programming skills in Python and C++ essential. Hybrid role with base salary of $116,000–$184,000 for Level 2 or $152,000–$230,000 for Level 3, plus equity and benefits.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

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:

  • Prior background 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.

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!


#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 184,000 USD for Level 2, and 152,000 USD - 230,000 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 3, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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Here is what this employer asked for. Sign in and we will fill in your half.

  • Role Applied Machine Learning Engineer, AI for VLSI Design - New College Grad 2026
  • Experience 3-4 years
  • Education Master Degree, or equivalent experience
  • Work type On-site
  • Location United States
Check my match (free)
NVIDIA
Hardware & Semiconductors · 200-500 Members · Santa Clara, CA, United States

NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.

Job Overview

Approx. salary range

152K – 305K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 23 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
6 days ago
Job Type
Full Time
Education
Master Degree, or equivalent experience
Experience
3-4 years

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