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Applied Machine Learning Engineer - AI for VLSI Design

NVIDIA nvidia.com Open · verified Nov 1, 2026
US, CA, Santa Clara Full-time Mid-level Machine Learning Engineering

At a glance

Mid-level Machine Learning Engineering role at NVIDIA. US, CA, Santa Clara · full-time.

In listing Machine Learning Engineering salary

RoleMachine Learning Engineering
SeniorityMid-level
LocationUS, CA, Santa Clara
EmploymentFull-time
PostedOct 30, 2026 · 2d ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Develop agent-based AI approaches for VLSI design challenges
  • Research and implement new electronic design automation methods
  • Build models and algorithms from circuit-design data, testing assumptions until results meet the required quality targets
  • Work with a cross-disciplinary team on circuit design, layout optimization and SPICE correlation

What you bring

  • A master's degree or equivalent experience with at least three years in the field, or a doctorate with at least one year
  • Your background includes electrical or computer engineering, combinatorial optimization and agentic AI or another listed area
  • You can code in Python and C++, drawing on algorithms, applied math or machine learning experience

Who this fits

This role suits a mid-career engineer with graduate-level preparation and hands-on experience across AI, optimization and chip-design automation. You’ll work across engineering and research teams on pre-silicon and post-silicon circuit-design projects. A self-directed approach and clear technical communication are valued.

From the employer

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 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

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!

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.

Applications for this job will be accepted at least until November 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.

Opportunity

Machine Learning Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Machine Learning Engineering

Find me work

By the team behind aimlroles.

Find me work
Opportunity

Machine Learning Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind aimlroles.