{"id":106866,"url":"https://alion.io/job/nxp-staff-analog-validation-engineer-with-aiml","title":"Staff Analog Validation Engineer – with AI/ML","company":{"id":17368,"name":"NXP Semiconductors","domain":"nxp.com","url":"https://alion.io/company/nxp","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":77,"open_postings":200,"ghost_share":0,"stale_share":0.92,"repost_share":0,"time_to_fill_p50_days":34,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":81000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":10},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2026-07-21T00:00:00Z","employer_posted_date":"2026-07-21","last_verified_at":"2026-10-18T07:33:41Z","board_verified":true,"closed_at":null,"days_open":89,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":89},"description":"We are seeking a talented Analog Validation Engineer with AI/ML expertise to join our Silicon Validation team focused on next-generation MCU products.\nAnalog & Mixed-Signal Validation\nDevelop and execute validation plans for analog and mixed-signal IPs in MCU and MPU products.\nPerform electrical characterization across:Voltage\nTemperature\nProcess corners\nFrequency ranges\n\nValidate analog subsystems including:PLLs and Oscillators\nADCs and DACs\nVoltage Regulators (LDO/DC-DC)\nPower Management Units (PMU)\nComparators and Sensors\nClocking and Reset architectures\nHigh-speed interfaces\n\nExecute shmoo analysis, margin testing, stress testing, and reliability characterization.\nCorrelate silicon measurements against design and simulation expectations.\nIdentify, debug, and root-cause silicon issues working closely with design teams\nAI/ML for Analog Validation\nDevelop AI/ML solutions for:Anomaly detection in characterization data\nAutomated failure clustering\nRoot-cause prediction\nOutlier identification\nTrend analysis across silicon generations\nApply machine learning techniques to:Predict silicon performance variations\nIdentify manufacturing and process-related anomalies\nOptimize validation coverage\nAccelerate debug cycles\n\nBuild intelligent dashboards and predictive analytics tools supporting validation teams.\n\nJob Qualification:\nBachelor’s or Master’s degree in Electrical/Electronics/Computer Engineering (or related).\n\n7+ years of experience in semiconductor validation (analog), product engineering, or silicon debug.\n\nStrong hands-on background in:\nMCU architectures\n\nEmbedded systems\n\nLab bring-up and silicon debug tools (JTAG, logic analyzers, scopes, etc.\n\n More information about NXP in India...\n#LI-7013","description_format":"text","description_chars":1724,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Processors, MCUs & AI Chips","RF & Wireless Hardware","Analog & Power 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