Staff Engineer, Post Silicon ValidationWe 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.Core Responsibilities· Identify high-leverage opportunities where AI/ML can materially improve post-silicon workflows, such as:Adaptive characterization (intelligent selection of next measurements)Anomaly detection in parametric, waveform, and RF dataMeasurement clustering and outlier identificationAutomated regression triage and silicon learningCalibration and trimming optimization· Apply and integrate existing AI/ML technologies, including:Classical ML (clustering, regression, Bayesian methods)Time-series and waveform analysis techniquesAgentic AI systems for lab automation, test orchestration, and debug assistance· Serve as a technical bridge between silicon/test engineers and:Internal ML specialistsExternal vendorsAcademic or ecosystem partners· Evaluate and prototype AI-enabled tools for post-silicon· Develop reference workflows, guidelines, and examples for AI-assisted evaluation and characterization.· Create reusable frameworks that scale across products, nodes, and business units.· Mentor engineers on:Modern post-silicon data analysis techniquesPractical use of AI tools in the lab and on ATE· Represent the organization in Technical reviews, Vendor engagements, Industry forumsRequired Qualifications· 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:ADCs/DACs, PLLs, clockingSERDES, PHYs, high-speed IOPower, timing, and signal-integrity-sensitive designs· Strong understanding of:Silicon bring-upMeasurement instrumentation and data interpretationATE-based test and characterization flows· 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.· Comfortable working in Python-based analysis environments (not necessarily building ML frameworks).· 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.· Demonstrated technical leadership as a senior IC:Driving initiatives without direct authorityInfluencing methodology and direction· Comfortable operating across abstraction levels—from waveform-level analysis to system-level implications.Preferred Qualifications· Experience with adaptive or data-driven characterization, yield learning, or post-silicon tuning.· Exposure to reinforcement learning, Bayesian optimization, or active learning concepts applied to engineering problems.· Familiarity with RF test and characterization (EVM, phase noise, spurs, jitter, BER).· Experience working with or evaluating:Lab automation platformsTest data analytics platformsAI-assisted debug or analysis tools· Participation in industry conferences, standards groups, or technical publications related to silicon validation or test.Analog Devices is an equal opportunity employer.
We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.EEO is the Law: Notice of Applicant Rights Under the Law.Job Req Type: ExperiencedRequired Travel: Yes, 10% of the timeShift Type: 1st Shift/DaysActual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.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.