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.
Santa Clara, CA, US
Live, first seen by us 38 days ago#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
Employment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
New College Grad 2026
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
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.
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++.
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:
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$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.
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.
104 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
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:
Complete your application on jobs.nvidia.com. The employer’s form will show what is required.
Already applied? Track this application
New ML Engineer postings at the employers we follow are up 10% over the last 6 weeks compared with the 6 before.
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.
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.
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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
#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.
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.
No clear work-authorization passage found. Eligibility is unconfirmed.