principal Machine Learning Engineer tech_leadership Bachelor's · Posted Apr 20, 2026
$136,500 – $253,500
USD per year

About this role

Cadence Design Systems is hiring a principal-level Machine Learning Engineer based in San Jose, CA. The posting calls out experience with LLMs, RAG, Prompt Engineering, Distributed Systems. Listed education preference: a bachelor's degree or equivalent. Compensation is listed at $136,500–$253,500 per year.

Role
Machine Learning Engineer
Function
machine learning
Level
principal
Track
Tech leadership
Employment
Full-time
Location
San Jose, CA
Education
Bachelor's degree
Posted
Apr 20, 2026
AI Summary
Design and implement scalable AI agent infrastructure for semiconductor design automation within Cadence's ChipStack platform. Build evaluation frameworks, data pipelines, and production-grade systems that enhance chip design productivity. Requires strong software engineering fundamentals with practical ML systems and agent infrastructure experience.

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Job description

from Cadence Design Systems careers

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

Chips are at the center of today's tech-driven world. But how we design and verify them has not fundamentally changed in decades, while their complexity and specialization have skyrocketed due to increasing performance demands from AI. We are a dynamic, fast-moving team of software developers, ML scientists, and research-minded engineers on a mission to change that.

Operating with the agility of a startup but backed by industry-leading verification technologies, we are part of the System Verification Group (SVG). Our charter is to develop state-of-the-art EDA software and hardware platforms (including Xcelium, Jasper, Palladium, Protium, and Helium) and supercharge them with cutting-edge AI, automation, and advanced data-driven workflows.

About This Role

Cadence Design Systems is the leading provider of design automation tools for electronic and intelligent systems design. The ML / Software Engineer – ChipStack SuperAgent Team will be responsible for designing, implementing, and evaluating AI agents that enhance productivity across the semiconductor design lifecycle. This engineer will contribute to the development of robust agent infrastructure, evaluation systems, and production-grade AI capabilities integrated within Cadence’s electronic design automation (EDA) ecosystem.

This is an excerpt. Read the full job description on Cadence Design Systems careers →
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