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NVIDIA

Applied Machine Learning Engineer - AI for VLSI Design

  • Hybrid
  • 6+ years

Salary

$152,000 - 230,000/ year

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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 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!

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

Responsibilities

  • Applications for this job will be accepted at least until September 26, 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.

Where you’d work

Part of the week in the office

You can work from

  • United States

About the company

NVIDIA

Office in United States

Also hiring in Munich, Germany, France, Bristol, United Kingdom and 13 more places

273 of their 660 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 21 checks run
  • 1 red flag

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7 checks

1 red flag

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  • Must-haves
Details12 facts · Role, Location, Compensation, Employment
Tech stack
  • Python
  • LLMs
Type
Full-time
Equity
Equity offered
Specialty
ML
Region
United States
Pay period
Annual
Show 6 more factsShow less

Role

Category
Data & Analytics
Specialty
ML
Experience
25+ years
Tech stack
  • Python
  • LLMs

Location

Work model
Hybrid
Region
United States
Office
  • United States
Remote from
  • United States

Compensation

Salary
$152,000 - 230,000 / year
Pay period
Annual
Equity
Equity offered

Employment

Type
Full-time

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