{"id":2430560,"url":"https://alion.io/job/seagate-senior-wafer-process-analytics-engineer","title":"Senior Wafer Process Analytics Engineer","company":{"id":1756651,"name":"Seagate Technology","domain":"seagate.com","url":"https://alion.io/company/seagate-com","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":92310,"max":131876,"currency":"USD","period":"year","gross":null,"usd_annual":131876},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Computer Vision","optional":false},{"name":"MATLAB","optional":false},{"name":"OpenCV","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-10-13T08:52:24Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-13T23:32:34Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About our group:\nAt Seagate, our mission is to build the world's best data storage devices. The Advanced Transducer Development group is a global R&D organization developing new recording head technologies to advance areal density and support Seagate's HDD product roadmap. Our process team uses state-of-the-art wafer fabrication tools and cleanroom facilities to develop leading-edge writer and read-sensor technologies.\nOur team demonstrates the feasibility of new devices, process modules, materials, and integration concepts. If you enjoy wafer process development, hands-on fabrication, and solving complex device-build challenges, this could be an excellent opportunity to advance your R&D career.\nAbout the role - you will:\nDevelop advanced analyses to understand and improve critical dimension control, process variation, device geometry, and wafer-level performance.\nBuild predictive and empirical models connecting process inputs, material properties, and metrology results to key process and device outputs.\nDevelop, validate, and deploy AI and machine-learning solutions for process optimization, excursion identification, and downstream prediction.\nCreate automated image-analysis workflows for SEM, optical, AFM, and other characterization data, including segmentation, feature extraction, dimensional measurement, and defect classification.\nDevelop empirical unit-process models and wafer-process simulations that predict geometry evolution, process interactions, and cumulative variation through integrated device flows.\nPartner with unit process, integration, metrology, and design engineers to translate engineering problems into practical analytical solutions.\nDesign experiments and data-collection strategies that produce reliable training data, isolate key process factors, and support model validation to connect downstream targeting to in-room parametrics.\nDeploy maintainable engineering tools, scripts, dashboards, or automated pipelines while establishing sound practices for data traceability, version control, and model documentation.\nCommunicate model performance, uncertainty, limitations, and recommendations to technical and management audiences, and contribute to technology transfer and intellectual property.\nAbout you:\nYou are self-motivated, intellectually curious, and energized by solving complex engineering problems with data.\nYou combine strong analytical skills with physical intuition and seek to understand the mechanisms behind statistical relationships.\nYou can translate loosely defined technical challenges into structured analyses, models, experiments, and actionable recommendations.\nYou collaborate effectively across engineering, science, software, and technician teams and communicate complex concepts clearly.\nYou value data quality, reproducibility, model validation, and thorough documentation.\nYou are comfortable working in a combination of cleanroom, laboratory, and office environments.\nYour experience includes:\nStrong experience with Python, MATLAB, R, or similar tools for scientific computing, data analysis, model development, and workflow automation.\nExperience applying statistical methods such as regression, design of experiments, ANOVA, statistical process control, multivariate analysis, or process-capability analysis.\nExperience developing and validating machine-learning or AI models using engineering, manufacturing, scientific, or image-based data.\nExperience with image processing or computer vision, including segmentation, feature extraction, classification, object detection, dimensional measurement, or image registration.\nExperience building process-accurate models and calibrated unit process simulations, using empirical and/or physics informed models on commercial platforms or home-built code.\nAbility to organize and analyze complex datasets from multiple sources and communicate results through clear visualizations and technical presentations.\nBachelor’s degree in Data Science, Computer Science, Electrical Engineering, Chemical Engineering, Materials Science, Mechanical Engineering, Physics, Applied Mathematics, Statistics, or a related technical field with 5+ years of relevant experience; a Master’s degree with 3+ years; a PhD with 0+ years; or equivalent education and experience.\nYou might also have\nExperience with semiconductor fabrication, nanotechnology, MEMS, magnetic devices, photonic devices, or advanced manufacturing.\nFamiliarity with lithography, thin-film deposition, plasma or wet etch, CMP, cleans, thermal processing, or wafer-level metrology.\nExperience analyzing SEM, TEM, AFM, optical microscopy, profilometry, or defect-inspection data.\nExperience with PyTorch, TensorFlow, scikit-learn, OpenCV, SQL, databases, data pipelines, source control, containerization, or model deployment.\nKnowledge of model monitoring, retraining, explainability, governance, and responsible AI practices.\nA record of innovation through patents, invention disclosures, publications, presentations, deployed analytical capabilities, or measurable process improvements.\nLocation:\nSeagate’s Normandale campus, spanning Bloomington and Edina, MN, serves as the global hub for recording head development and manufacturing. The campus offers an on-site café, fitness center, wellness programs, indoor walking paths, meditation rooms, and frequent cultural and community events. Numerous dining, shopping, and recreational options are located just minutes away.\nThe estimated base salary range for this position is $92,310.40 - $131,876.00. The individual salary is based on work location and additional factors, including job-related skills, experience, and relevant education or training.\nSeagate offers comprehensive benefits to its eligible employees, including, but not limited to, eligibility to participate in discretionary bonus program, medical, dental, vision, and life insurance, short-and long-term disability, 401(k), employee stock purchase plan, health savings account, dependent care, and healthcare spending accounts. Seagate also offers paid time off, including 12 holidays, flexible time off provided pursuant to Seagate policy, a minimum of 48 hours of paid sick leave, and 16 weeks of paid parental leave. The benefits for this position are based on a full-time schedule for a full calendar year and may differ depending on work location.\nLocation: Normandale, United States\nTravel: Up to 10%","description_format":"text","description_chars":6404,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Flexible time off","Life insurance","Parental leave","Wellness"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-13T08:52:24Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":22,"reasons":["conf:2","win:early","comp:brand"],"computed_at":"2026-10-14T01:46:44Z"},"pay":{"stated_usd_annual":131876,"is_top_pay":true},"html_url":"https://alion.io/job/seagate-senior-wafer-process-analytics-engineer","json_url":"https://alion.io/job/seagate-senior-wafer-process-analytics-engineer.json","meta":{"generated_at":"2026-10-14T01:46:44Z","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":2583,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"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":1756651},"rest":"https://alion.io/mcp/rest/get_company?id=1756651"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fseagate-senior-wafer-process-analytics-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"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%2Fseagate-senior-wafer-process-analytics-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"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%2Fseagate-senior-wafer-process-analytics-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/seagate-senior-wafer-process-analytics-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fseagate-senior-wafer-process-analytics-engineer"}]}