AI​/ML Applications Engineer - Product Validation & Test

Position: Staff AI/ML Applications Engineer - Product Validation & Test
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.·        
** 8+ years
** of hands-on experience in
** post-silicon test, evaluation, characterization, or validation
** of ASICs or SoCs.
· Deep practical experience with
** mixed-signal and/or high-speed digital blocks**, such as:
· Proven ability to debug silicon issues with
** limited observability
** and noisy data.
· Working knowledge of
** applying ML techniques to real measurement data**, including Statistical modeling, Pattern recognition & Anomaly detection
· Experience using or integrating
** AI-enabled tools
** in engineering workflows.
· Ability to reason about
** data quality, bias, observability limits, and measurement noise**—especially in analog/RF contexts.
· Strong cross-functional communication skills; able to translate between silicon, test, and software/AI domains.
· Experience with
** adaptive or data-driven characterization**, yield learning, or post-silicon tuning.
· Familiarity with
** RF test and characterization** (EVM, phase noise, spurs, jitter, BER).
· Experience working with or evaluating:
* This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.
* This position includes medical, vision and dental coverage, 401k, paid vacation,
** holidays, and sick time**, and other benefits.

Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.
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