{"id":3902804,"url":"https://alion.io/job/renesas-electronics-staff-defect-metrology-aiml-engineer","title":"Staff Defect Metrology AI/ML Engineer","company":{"id":3481,"name":"Renesas Electronics","domain":"renesas.com","url":"https://alion.io/company/renesas-electronics","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":105,"ghost_share":0,"stale_share":0.99,"repost_share":0,"time_to_fill_p50_days":32,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Goleta, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":120000,"max":160000,"currency":"USD","period":"year","gross":null,"usd_annual":160000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"CVD","optional":false},{"name":"JMP","optional":false},{"name":"NumPy","optional":false},{"name":"OpenCV","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"Statistical Process Control","optional":false},{"name":"TensorFlow","optional":false},{"name":"Agile","optional":true}],"status":"live","first_seen_at":"2026-11-06T20:41:27Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-10T23:06:24Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"We are seeking a highly motivated Staff Engineer, Defect Metrology to join our MOCVD team. This role will provide technical leadership in semiconductor defect inspection, data analytics, and development of advanced defect detection and classification capabilities. The ideal candidate combines hands-on semiconductor metrology experience with strong skills in Python, data analysis, image processing, and AI/ML to improve product quality, process control, and manufacturing yield.\nKey Responsibilities:\nDevelop image-processing algorithms and AI/ML models to detect, classify, and quantify semiconductor defects such as particles, pits, and scratches.\nAnalyze large datasets from wafer inspection, metrology, and MOCVD processes to identify trends, correlations, anomalies, and root causes.\nDevelop automated analysis and visualization workflows using Python, SQL, JMP, Excel, and related tools.\nCorrelate incoming substrate defects with epitaxial defects and develop data-driven methods for substrate quality screening.\nIntegrate defect, process, equipment, and wafer-level data to improve understanding of defect mechanisms and yield drivers.\nPartner with process, equipment, and development engineers to correlate defect excursions with process changes and equipment events.\nImprove inspection methodologies, algorithms, calibrations, statistical metrics, and defect classification strategies.\nEnsure the accuracy, repeatability, and integrity of defect metrology systems and associated data.\nApply DOE, SPC, statistical modeling, and data visualization to support process improvement.\nCommunicate technical findings and actionable recommendations to engineering teams, management, vendors, and customers.\n Required\nBS with 5+ years, MS with 3+ years, or PhD in Engineering, Science, Data Science, Computer Science, or a related field.\nExperience in semiconductor defect inspection, metrology, yield engineering, manufacturing analytics, image analysis, or a related area.\nStrong data analysis and programming skills, preferably with Python and SQL.\nExperience applying AI/ML, computer vision, statistical learning, or advanced analytics to engineering problems.\nExperience working with large datasets, including data extraction, manipulation, statistical analysis, visualization, and correlation.\nFamiliarity with tools/libraries such as pandas, NumPy, scikit-learn, OpenCV, PyTorch, or TensorFlow is desirable.\nStrong organizational skills, attention to detail, and demonstrated analytical and problem-solving capabilities.\nStrong teamwork and collaboration skills, with the ability to work effectively across process, equipment, manufacturing, development, and data/IT functions.\nPreferred\nExperience with AI/ML-based wafer defect detection or classification.\nExperience developing automated data pipelines, dashboards, or manufacturing analytics tools.\nExperience with optical wafer inspection systems such as KLA Candela or Nanotronics.\nKnowledge of semiconductor materials, epitaxial growth, and materials characterization.\nExperience with DOE, SPC, process capability, and statistical modeling.\nFamiliarity with cleanroom protocols and semiconductor wafer handling.\nApplicants for this position must be currently authorized to work in the United States on a full-time basis. Renesas is unable to sponsor applicants for work visas for this position\n The expected annual pay range for this position is $120,000 - $160,000. This position is also eligible for bonus opportunities. Please note that final offer amount will be dependent on geographic location, applicable experience, and skillset of the candidate.\nRenesas offers a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, and pet insurance. In addition to elective benefit options, benefited employees receive company-paid life insurance and AD&D, LTD, short term medical benefits as well as paid sick time, paid holidays, and accrued paid vacation. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.\nRenesas is an embedded semiconductor solution provider driven by its Purpose, To Make Our Lives Easier. With a global team of over 21,000 engineers and problem solvers in more than 30 countries, we offer the opportunity to work on world-leading technology for Automotive, Industrial, Infrastructure, and IoT, shaping a safer, healthier, greener, and smarter future.\nAt Renesas, TAGIE is our culture, grounded in being Transparent, Agile, Global, Innovative, and Entrepreneurial. It shapes how we work, grow and deliver on our purpose together. This collaborative spirit and mindset drive our semiconductor technology to transform industries and impact millions of lives.\nWe believe in rewarding our employees with a competitive benefits package alongside their salary. More information will be provided during the hiring process.\nAre you ready to join our team and shape the future with us?\nRenesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our Diversity & Inclusion Statement.\nRenesas Electronics deals with dual-use technology that is subject to U.S. export controls regulations. Under these regulations it may be necessary for Renesas to obtain U.S. government export license prior to release of technology to certain persons. The decision whether or not to file or pursue an export license application is at the sole discretion of Renesas.","description_format":"text","description_chars":5889,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Life insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","Automotive Components","Analog & Power Semiconductors"],"lifecycle":[{"event":"open","at":"2026-11-07T01:23:05Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 60 · green card filings: 30","filings_12m":60,"filings_prev_12m":78,"green_card_filings_12m":30,"median_offered_wage_usd":144222,"route":null,"cap_exempt":false,"checked_at":"2026-11-10T11:34:35+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":0}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":3,"expected_fill_days":32,"reasons":["conf:5","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-11-10T06:52:35Z"},"pay":{"stated_usd_annual":160000,"is_top_pay":false},"html_url":"https://alion.io/job/renesas-electronics-staff-defect-metrology-aiml-engineer","json_url":"https://alion.io/job/renesas-electronics-staff-defect-metrology-aiml-engineer.json","meta":{"generated_at":"2026-11-11T02:58:03Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":1716,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-12T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3481},"rest":"https://alion.io/mcp/rest/get_company?id=3481"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Frenesas-electronics-staff-defect-metrology-aiml-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Frenesas-electronics-staff-defect-metrology-aiml-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Frenesas-electronics-staff-defect-metrology-aiml-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/renesas-electronics-staff-defect-metrology-aiml-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Frenesas-electronics-staff-defect-metrology-aiml-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3902804}},{"tool":"search_jobs","arguments":{"company":"renesas.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3902804},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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