{"id":4055052,"url":"https://alion.io/job/apple-photolithography-process-equipment-development-engineer","title":"Photolithography Process & Equipment Development Engineer","company":{"id":12,"name":"Apple","domain":"apple.com","url":"https://alion.io/company/apple","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Apple Jobs","truth_index":{"grade":"A","score":90,"open_postings":824,"ghost_share":0,"stale_share":0.214,"repost_share":0.006,"time_to_fill_p50_days":122,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Taiwan"],"countries":["TW"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Design of Experiments","optional":false},{"name":"Ellipsometry","optional":false},{"name":"Photolithography","optional":false},{"name":"FMEA","optional":true},{"name":"LLM","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-11-11T01:33:32Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T08:43:30Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Apple is seeking a talented Process or Equipment Engineer to join our Photolithography Engineering team. In this role, you will drive the research, development, and continuous improvement of cutting-edge lithography processes, materials, and equipment. You will play a pivotal role in advancing core manufacturing capabilities that directly influence the evolution and performance of future Apple products.\nDescription\nIn this role, we are looking for a proactive and curious engineer who demonstrates strong ownership in identifying technical challenges and driving innovative solutions. Your scope extends beyond traditional process tuning-you will actively optimize equipment capability, tooling performance, and overall fab operational efficiency.\nCollaboration is essential to your success. Throughout the development cycle, you will partner closely with the cross-region team and diverse cross-functional engineering groups to refine, validate, and bring your ideas to fruition. To build a holistic, hands-on mastery of photolithography, you will also engage in the maintenance and sustaining of our R&D line equipment, gaining critical insights directly from tool behaviors.\nThis role bridges scientific discovery and high-volume manufacturing reality. You will be expected to evaluate ideas through the lens of baseline yield, defect, process margin, and manufacturability-ensuring that cutting-edge innovations successfully transition from concept to scalable production.\nMinimum Qualifications\nMS degree in Chemical Engineering, Materials Science, Optics, Physics, Electrical Engineering, or a related engineering/scientific discipline.\n3+ years of hands-on experience in photolithography process engineering, recipe optimization, or litho equipment tuning.\n2+ years of practical experience operating, troubleshooting, and maintaining lithography process tools (coater/developer/stepper/scanner) and metrology equipment (CD-SEM, overlay, ellipsometry, or thin-film inspection).\nProven track record in Design of Experiments (DOE) methodologies, statistical data analysis, and structured root-cause problem solving.\nExcellent verbal and written English communication skills, with demonstrated capability to articulate technical concepts and collaborate effectively with global cross-functional teams.\nPreferred Qualifications\nSolid domain knowledge in advanced display (OLED/micro-LED) or semiconductor fabrication processes, with deep specialization in photolithography.\nHands-on experience with fab operational models, line dispatching, and structured manufacturing risk assessment (e.g., FMEA).\nProven track record in technology transfer-successfully scaling processes from early-stage R&D to high-volume manufacturing (HVM).\nBackground in organic materials development, formulation, or evaluation (e.g., photoresists, polyimide).\nProficiency in material characterization and surface analysis techniques, such as TDS, FTIR, SIMS, FIB, and SEM/TEM.\nExperience with optical or mechanical simulation toolsets (e.g., lithography simulation tools like S-Litho/PROLITH, optical modeling, or FEA stress analysis).\nFamiliarity with leveraging modern AI/LLM tools, machine learning, or automated scripts to boost engineering productivity 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