Back to jobs

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

Pay
Multiple pay amounts — pay source
#LI-Hybrid 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: 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.
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting

Before you apply

New graduates
Open to new graduatesNew College Grad 2026

What you’ll work on

Full posting
  • Build and innovate agentic AI solutions for VLSI design problems

  • Research and implement frontier electronic design automation techniques

  • Work on custom circuit design data, circuit/layout optimization and SPICE correlation

  • Analyze datasets, form and test hypotheses, and build models until they hit target QoR

From the employer’s posting
Build and innovate agentic AI solution for VLSI design problem.
Research and implement techniques on frontier solutions of electronic design automation.
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.
Responsible for analyzing the problem or datasets, raise and validate hypotheses, design and build models and algorithm until they reach the desired QOR.

What you’ll bring

All qualifications

Core experience

  • MS or PhD in Electrical/Computer Engineering (or equivalent experience)
  • Strict experience in combinatorial optimization, agentic AI and LLMs, and ML for chip design/EDA
  • Background in algorithms and data structures
  • Python and C++ programming with applied math or ML experience
Qualification wording
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++.
Education & alternatives
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:
Apply at NVIDIA

Posting record

Report an error
Status in our records
Live
First seen by us
Oct 4, 202638 days ago
Recorded sightings
171
Last seen by us
Nov 12, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$166K–$240K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,394 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 38

Similar jobs usually come down between day 8 and day 75.

At NVIDIA, jobs usually come down by about day 32.

From 5,297 similar postings that came down, and 106 of NVIDIA’s. Coming down is not always a hire.

NVIDIA is hiring

104 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • ML Engineer hiring is steady
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • C++
  • Python
Where the posting names them
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:

Your next step

Complete your application on jobs.nvidia.com. The employer’s form will show what is required.

Applying through Eightfold

  • You sign in, with Microsoft, LinkedIn, Google, Facebook or a new account, before the application opens.

Already applied? Track this application

About NVIDIA

People
About 42,000 in 2026, up 17% from the year before.Annual report (SEC Form 10-K)
Company
Listed as NVDA.
H-1B visas
978 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 10% over the last 6 weeks compared with the 6 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 612, the most 1,081, and the latest week had 1,068.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

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 other objective job-related factors. The expected base salary ranges for this position are: 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 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.
Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
#LI-Hybrid 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: 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.
Location & working pattern

Santa Clara, CA, US

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 other objective job-related factors. The expected base salary ranges for this position are: 116,000 USD – 184,000 USD for Level 2; and 152,000 USD – 230,000 USD for Level 3.
Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.