{"id":1166230,"url":"https://alion.io/job/micron-technology-yield-enhancement-engineer","title":"YIELD ENHANCEMENT ENGINEER","company":{"id":37,"name":"Micron Technology","domain":"micron.com","url":"https://alion.io/company/micron-technology","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":79,"open_postings":768,"ghost_share":0,"stale_share":0.836,"repost_share":0,"time_to_fill_p50_days":28,"computed_at":"2026-09-27T05:45:00Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Taichung, Taiwan"],"countries":["TW"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":71000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1608},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Copilot","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-09-24T02:53:15Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-27T16:44:54Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Our vision is to transform how the world uses information to enrich life for all.\nMicron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.\nResponsibilities\nAnalyze inline/param/probe/DOE data to identify yield detractors and drive continuous improvement.\nApply semiconductor device physics, process knowledge, and statistical tools to troubleshoot yield issues.\nCollaborate with module engineering teams to diagnose process/tool-related yield variation and ensure timely resolution.\nLead or participate in cross-functional task forces to solve complex yield, defect, or process integration challenges.\nPerform root-cause analysis using FMEA, 8D, SPC, and other structured methodologies.\nPublish clear Pareto analyses and maintain dashboards for assigned product lines.\nSupport new technology transfer, process baseline setup, and qualification activities.\nPartner with equipment engineering, shift engineering, and quality teams to address long-term defect or excursion issues.\nConduct material, process, and equipment evaluations and recommend optimization strategies.\nEnsure product performance meets design and reliability requirements and propose corrective actions when gaps exist.\nLeverage AI-Enabled and AI-Assisted solutions, including Copilot, YMS Genie, Agentic AI, AI Agents, and Large Language Models (LLMs), to accelerate yield analysis, automate engineering workflows, summarize insights, and enhance diagnostic efficiency.\nDevelop and maintain Tableau dashboards and visualization solutions to monitor yield performance, detect abnormal trends, and provide actionable insights for engineering teams.\nRequired Qualifications\nMinimum 2 years of experience in semiconductor manufacturing, yield engineering, process engineering, or related electronics industries.\nBachelor’s or Master’s degree in Physics, Optoelectronics, Electrical Engineering, Materials Science, Chemistry, Mathematics, or related fields.\nExperience in memory process, device engineering, or product/design analysis.\nStrong analytical skills with the ability to make data-driven decisions; experience with statistical or scripting tools (e.g., JMP, Python, SQL).\nExcellent communication, problem-solving capability, and self-learning ability.\nAbility to work effectively in a fast-paced production environment with strong ownership.\nWillingness to support weekend or holiday on-call duties when required.\nExperience applying Artificial Intelligence, AI Assistants, Agentic Solutions, Code Assist, or Large Language Models (LLMs) to improve engineering productivity, data analysis, automation, and problem-solving effectiveness.\nExperience with data visualization and engineering analytics tools (e.g., Tableau, Power BI, JMP, or equivalent platforms) for yield monitoring, trend detection, and engineering decision-making.\nPreferred Qualifications\nPractical experience in automation, machine learning, or AI-driven analysis for yield or manufacturing applications. → This aligns with industry trend toward advanced analytics and automation.\nFamiliarity with SPC, DOE, FDC/EDA, defect inspection, or inline metrology tools often used in semiconductor fabs.\nKnowledge of memory architecture (DRAM/NAND) or advanced device physics. \nExperience in technology transfer, cross-site engineering collaboration, or equipment qualification.\nProject management or technical leadership experience is a plus.\nAbout Micron Technology, Inc.\nWe are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich lifefor all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities - from the data center to the intelligent edge and across the client and mobile user experience.\nTo learn more, please visit micron.com/careers\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.\nTo request assistance with the application process and/or for reasonable accommodations,please contact at .\nMicron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.\nMicron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.\nAI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.\nFraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.","description_format":"text","description_chars":5474,"description_truncated":false,"requirements":{"experience_years_min":2,"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":["Enterprise Storage Systems","Semiconductor Manufacturing","Memory & Storage Chips"],"lifecycle":[{"event":"open","at":"2026-09-24T02:53:15Z"}],"liveness":{"score":70,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.695,"p_room":1,"age_days":3,"expected_fill_days":28,"reasons":["conf:2","stale_co","urgency","velocity","win:early","comp:junior,brand"],"computed_at":"2026-09-27T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/micron-technology-yield-enhancement-engineer","json_url":"https://alion.io/job/micron-technology-yield-enhancement-engineer.json","meta":{"generated_at":"2026-09-28T04:44:29Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3061,"day_limit":5000,"remaining_today":1939,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}