{"id":2139175,"url":"https://alion.io/job/texas-instruments-sm-fab-advanced-process-controls-apc-engineer","title":"SM Fab Advanced Process Controls (APC) Engineer","company":{"id":36400,"name":"Texas Instruments","domain":"ti.com","url":"https://alion.io/company/texas-instruments","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":75,"open_postings":99,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"junior","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":63000,"max_usd":114000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":3358},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-08T20:49:25Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-13T02:47:04Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Change the world. Love your job.\nWe can't predict what the future holds, but we know Texas Instruments will have a part in shaping it.\nTexas Instruments is looking for an energetic engineer with a passion for process control and automation. This position provides the opportunity to start up a new factory and drive continual improvement at all levels. As a Factory Controls Engineer you are responsible for working with Fab Engineering to reduce run-to-run (R2R) process variation by implementing Advanced Process Control (APC) methods. In this position, you’ll have the opportunity to collaborate with process engineering, equipment automation, data engineering, and data science teams to develop innovative APC solutions and sophisticated methods of variation prediction to reduce unscheduled tool downtime, improve process repeatability/reliability, and protect the factory from wafer-loss events.\nThe responsibilities of a Factory Controls Engineer (APC) in this role include:\nSupport the manufacturing ramp with execution of APC R2R processes that accelerate equipment/process startup and process experiments (SWRs)\nSupport the manufacturing ramp of a new factory with execution of equipment installation from a process perspective, process startup, and process release\nAccelerate the development of the R2R control system, including new control features, creating APC software tools, optimizing algorithms, and integrating machine learning with traditional control\nLearn and execute in multiple manufacturing execution systems (MES) quickly and proficiently\nSupport manufacturing operations in a high-volume manufacturing 300mm wafer Fab running Analog or Embedded Processing Technologies\nDevelop and implement improved methods of manufacturing, procedures, and processes that result in improved efficiencies, yields, machine operations, and quality\nImplement project or improvement plans for areas of responsibility including but not limited to: efficiency improvements, cost reduction or quality improvement programs, new product support and other process improvements\nIdentify systematic problems in either process or equipment related sources and communicating findings to the engineering staff in a continuous manner\nParticipate in data analysis and problem resolution\nDevelop new processes for existing or future technologies with high performance and low cost to produce world class quality\nApply statistical rigor through SPC, DOE, modeling and other advanced data analysis methods\n Minimum requirements:\n2 years relevant experience in at least two of the following: Industrial Automation, Semiconductor Process Engineering, Data Analytics/System Integration\nBachelor's degree in Chemical Engineering, Electrical Engineering, Mechanical Engineering, Materials Science, Computer Science, Software Engineering or a related field\nExperience in programming languages, Python, and/or SQL\nPreferred qualifications:\nStrong foundation with statistical process control, control theory/tools (e.g., PID tuning, state estimation, etc.), linear algebra, engineering change control and process release strategies\nAdvanced technical degree related to controls, systems, or software development\nPrior experience with Semiconductor APC systems, preferably AMAT E3 or 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