Applied Machine Learning Engineer - AI for VLSI Design - CA, Santa Clara, United States
$152,000 - $264,500 USD yearly
Originally posted 22 September 2026 by the employer.
Join a team that builds AI-driven software systems for Circuit Design.
About the role
What you'll do
- Work on projects involving Pre-silicon and Post Silicon custom circuit design and related data, Circuit/Layout Optimization and Spice correlation.
- Research and implement techniques on electronic design automation.
- Build and innovate agentic AI solutions for VLSI design problems.
- Analyze problems or datasets, raise and validate hypotheses, design and build models and algorithms until they reach desired QOR.
What you'll need
- MS (or equivalent experience) with 3+ years’ experience or PhD with 1+ years’ experience in Electrical/Computer Engineering degree.
- Experience in 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++.
Nice to have
- Prior experience in large-scale EDA software development.
- Prior experience in CMOS layout drawing, including schematic-to-layout translation and DRC/LVS compliance.
Skills: AI-driven software systems, Circuit Design, automation algorithms, DL models, VLSI design problem, Machine Learning for Chip Design & EDA
This role has been open 0 days — well below the 54-day median for EDA/CAD Engineering roles.
EDA/CAD Engineering · AI EDA Design
|
Open roles in category
51
|
Median days open
54 d
|
Median salary
$205k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (51 roles · 21 employers) |
|---|---|---|
| Open roles in this specialty | 6 | 51 |
| Open roles in the wider Physical Implementation family | 93 | 1414 · 108 employers |
| Median days open | 40 d | 54 d (−14 d vs this employer) |
| Median salary (USD postings) | — | $205k |
Skills observed across this category: AI-driven software systems, Circuit Design, automation algorithms, DL models, VLSI design problem, Machine Learning for Chip Design & EDA
Who's hiring in this category
- NXP Semiconductors · 11 open roles · median 48 d
- Cadence Design Systems · 6 open roles · median 30 d
- NVIDIA (this employer) · 5 open roles · median 62 d
- Qualcomm · 4 open roles · median 50 d
- Micron Technology · 3 open roles · median 138 d
- Synopsys · 3 open roles · median 35 d
How we counted: 51 open EDA/CAD Engineering (AI EDA Design) roles from 21 employers tracked in the SemiconductorJobs index, counted 23 Sept 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Physical Implementation family row. Figures refresh nightly.