Staff Engineer, Post Silicon Validation
Analog Devices · Wilmington, MA
About this role
Analog Devices is hiring a principal-level Principal Engineer in the software engineering function based in Wilmington, MA. The posting calls out experience with Python, Reinforcement Learning, Testing, Observability. Compensation is listed at $131,285–$190,108 per year.
- Role
- Principal Engineer
- Function
- software engineering
- Level
- principal
- Track
- Tech leadership
- Employment
- Full-time
- Location
- Wilmington, MA
- Posted
- May 16, 2026
More roles at Analog Devices
Job description
from Analog Devices careersAbout Analog Devices
Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at www.analog.com and on LinkedIn and Twitter (X).
Staff Engineer, Post Silicon Validation
About the Role
We are seeking a Staff Engineer to lead the application of AI-enabled techniques to post-silicon test, evaluation, and characterization across mixed-signal and SoC products. This role sits within Engineering Enablement and is intended for a deeply experienced post-silicon engineer who understands how silicon is actually evaluated in labs and on ATE—and who can strategically apply AI/ML and agentic tools to accelerate, scale, and improve those workflows.
This is a hands-on, high-impact individual contributor role with broad cross-functional influence. You will define how AI is practically used in evaluation, characterization, calibration, trimming, and qualification—not as an abstract data science exercise, but as a tool to reduce measurement effort, improve insight, and shorten time-to-confidence in silicon.