{"id":2226720,"url":"https://alion.io/job/texas-instruments-section-manager-yedefect-metrology-sm1","title":"Section Manager - YE/Defect Metrology (SM1)","company":{"id":36400,"name":"Texas Instruments","domain":"ti.com","url":"https://alion.io/company/texas-instruments","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":77,"open_postings":198,"ghost_share":0,"stale_share":0.914,"repost_share":0,"time_to_fill_p50_days":31,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sherman, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":68000,"max_usd":160000,"period":"year","method":"role_country_seniority_unknown","sample_n":15150},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Statistical Process Control","optional":false}],"status":"live","first_seen_at":"2026-10-02T17:48:11Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-12T16:47:46Z","board_verified":true,"closed_at":null,"days_open":41,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":40},"description":"Why Texas Instruments\nAt Texas Instruments, we design and manufacture semiconductors that power electronics across the world. Our 300mm manufacturing facilities represent some of the most advanced wafer fabrication environments in the industry. We invest in our people, our technology, and our manufacturing capabilities and we are looking for leaders who want to make a meaningful impact at scale.\nAbout the Role\nTexas Instruments is seeking an experienced and results-driven Section Manager, YE/Defect Metrology to join our 300mm semiconductor manufacturing organization. In this leadership role, you will own factory-wide defect metrology strategies, drive yield improvement initiatives, and lead a team of engineers and technicians focused on defectivity reduction, excursion management, and manufacturing process control.\nThis is a high-visibility position with direct engagement with site leadership. You will play a critical role in shaping the long-term yield roadmap for TI's advanced wafer fabrication environment while building and developing a high-performing engineering team.\nWhat You'll Do\nTeam Leadership & Organization Management\nLead, develop, and grow a team of engineers and technicians responsible for factory-wide defect metrology, defectivity reduction, and excursion management\nDrive workforce planning, performance management, succession planning, and talent development within the section\nFoster a culture of operational excellence, accountability, and continuous improvement\nYield Enhancement & Defect Metrology\nDefine and execute factory-wide defect control strategies across production tools spanning multiple technology nodes\nLead excursion detection, containment, and root cause resolution in a high-volume 300mm wafer fabrication environment\nDevelop and deploy monitoring methodologies that improve excursion detection speed (MTTD) and accelerate operational response (MTTR)\nExpand automated containment capabilities including auto-inhibit and response systems to reduce manufacturing exposure risk\nProcess Control & Quality Systems\nOversee Statistical Process Control (SPC) governance and manufacturing quality systems to ensure sustained process stability\nDrive standardization of manufacturing control methodologies across multiple technology platforms\nMaintain compliance with customer, ISO, IATF, and internal quality audit standards\nCross-Functional Collaboration & Executive Engagement\nPartner with process engineering, integration, operations, equipment engineering, and quality teams to coordinate defect control execution\nProvide operational briefings on significant defect events, containment actions, and excursion status to senior and executive site leadership\nPresent factory performance reviews, MTTD/MTTR roadmaps, and yield improvement updates to site management\nDigital Transformation & Innovation\nChampion AI-enabled manufacturing and data-driven decision-support initiatives focused on defect analysis and engineering productivity\nLead and contribute to continuous improvement programs that advance factory-wide yield, quality, and operational performance\nSupport cross-site benchmarking and best-practice sharing across TI's global manufacturing network\n Minimum requirements:\nBachelor's degree in Electrical Engineering, Materials Science, Chemical Engineering, Physics, or a related technical field.\n5 years of direct engineering or technical team leadership/management experience within the semiconductor industry.\nPreferred qualifications:\nExperience managing teams of 8 or more engineers and technicians\nExperience in defectivity reduction, excursion management, and SPC in a high-volume wafer fabrication environment\nHands-on experience in 300mm wafer fabrication across multiple technology nodes\nFamiliarity with MTTD/MTTR frameworks and operational performance metric development\nExperience developing or deploying AI-enabled manufacturing solutions or advanced analytics tools\nBackground in ISO, IATF, or equivalent quality management systems and audit compliance\nTrack record of measurable yield improvement and scrap avoidance in a high-volume production environment\nExperience supporting multi-site or corporate-level benchmarking and manufacturing governance initiatives\nProven ability to engage and present to senior and executive leadership on factory performance topics\nStrong cross-functional collaboration and project management skills","description_format":"text","description_chars":4406,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":8,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","Semiconductor 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