Software Engineer

• Design, develop, and maintain application systems for internal and external system integration
• Develop and maintain backend systems using Python and/or Java
• Design and implement RESTful APIs for system-to-system data exchange
• Integrate with third-party systems via APIs (customers, logistics partners, vendors, etc.)
• Develop, maintain, and support EDI communication and data transmission processes
• Design, develop, and optimize relational databases and SQL queries
• Perform system analysis, requirement evaluation, troubleshooting, and issue resolution
• Prepare technical documentation and support system testing and production deployment

BCM & WMS Developer

Backend Engineer

• Design, build, and maintain scalable backend services, APIs, and distributed systems that power our AI-driven products.
• Partner closely with frontend engineers, machine learning engineers, data scientists, product managers, and designers to deliver end-to-end customer experiences.
• Own the reliability, performance, and scalability of production systems, proactively identifying and resolving issues before they impact customers.
• Write clean, maintainable, and well-tested code, following engineering best practices and contributing to a high-quality codebase.
• Participate in architecture discussions, code reviews, testing, and continuous integration efforts to ensure engineering excellence.
• Design and implement secure, resilient, and highly available services that meet the demands of enterprise customers.
• Analyze and evolve system architecture to improve performance, scalability, reliability, and operational efficiency.
• Drive technical decisions and contribute to the team's engineering culture through mentorship, knowledge sharing, and continuous improvement.

Senior Software Engineer, Backend

Full-stack Engineer

• Support and lead material quality, filtration, risk mitigation, and value-engineering initiatives across the global network.
• Partner with global and site teams to define and align material technical requirements and qualifications.
• Develop, share, and sustain Best Known Methods (BKMs) across manufacturing sites.
• Collaborate with fabs to build and complete material roadmaps that support technology ramps.
• Facilitate global peer teams to align priorities, strategies, and execution to manufacturing goals.
• Plan and manage projects aligned to fab, central, and corporate objectives, balancing impact and resources.
• Use data and benchmarks to identify improvement opportunities and help deploy scalable solutions.

Staff/Principal Engineer, OCT MTE Material Engineering

• Lead the development, standardization, benchmarking, and continuous improvement of FE ME operation/equipment metrics, capacity readiness processes, business processes, and BKMs across all sites.
• Govern Fab Manufacturing Engineering operational ground rules and ensure consistent alignment of methodologies, metrics, and best practices globally.
• Act as a global/area technical SME to optimize area operations, systems integration, and digital ecosystem adoption, driving global standardization and systemization of BKMs into long‑term ME blueprints.
• Facilitate WW ME forums, area network meetings, and sustain/audit existing global BKMs and business processes.
• Analyze line performance, equipment utilization, OEE, workstation/block WPD, and capacity readiness using Theory of Constraints and Lean Manufacturing.
• Proactively drive area efficiency improvement by deep‑diving into root causes of equipment availability losses, operating losses, and baseline capability gaps—partnering with Site Manufacturing, Process, Equipment, and SIC teams.
• Forecast potential roadblocks in constraint workstation management and work with Site Manufacturing Managers to create mitigation plans.
• Lead proof‑of‑concepts and deployment of automation solutions, scheduling enhancements, BKM dashboards, and digital reporting to improve fab productivity.
• Govern global change processes and drive scheduling system improvements that enhance predictability, agility, and performance.
• Drive BKM knowledge sharing and effective implementation across FE sites, fostering a strong culture of collaboration and continuous improvement.
• Build a motivating environment that strengthens team engagement and enables members to reach their fullest potential.
• Collaborate with cross-functional and multicultural teams globally, demonstrating strong cultural agility and the ability to build rapport remotely and in person.

Senior Engineer, FE – Global Manufacturing Engineering

• Define best practices, deployment patterns, and software use cases.
• Plan and support deploy software in customer environments and validate network design and system readiness for production.
• Own complex technical issues across compute, network, and infrastructure layers, and drive resolution with engineering teams.
• Work closely with FAE teams to review deployment architectures and ensure completeness and alignment with BOM.
• Design and validate network models, including multi-tenant isolation and overlay networking.
• Translating real-world deployment challenges into product requirements, feature gaps, and design improvements.
• Influence product direction by bringing insights into product discussions and roadmap decisions.
• This role offers a pathway toward Product Management or Technical Program Management, with direct impact on product planning and system design.

Senior Software Product Engineer

• 硬體準備 (Hardware Prep)： 拆封全新的相機硬體、檢查實體連接線路，並將其連接至測試台以進行自動化建置。
• 軟體安裝 (Software Installation)： 將裝置連接至測試用電腦，並依照技術指南使用命令列工具 (command-line tools) 或自訂腳本燒錄最新的韌體 (firmware) 與嵌入式作業系統。
• 最終測試 (Final Testing)： 執行自動化 QA 測試套件（使用 Python 或 C 語言），以驗證裝置穩定性、影像串流品質以及核心週邊硬體的效能。
• 資料整理 (Organization)： 在 Confluence 或 Jira 等工具中記錄測試通過/失敗的結果、標記軟體錯誤 (bugs)，並在驗證完成後將裝置整潔地重新打包。
• 實驗室維護 (Lab Support)： 維護迴歸測試機架 (regression testing racks)、整理網路線與序列訊號線，並確保所有除錯工具皆已貼上標籤且妥善存放。

Engineering Intern

• Serve as the technical domain expert, providing guidance and support to global, regional, and site facilities and manufacturing teams
• Collaborate with internal teams (Technology Development, Procurement, Finance, Legal) to implement engineering solutions and drive innovation
• Analyze system designs to improve performance, efficiency, and cost-effectiveness, and support problem-solving using standard methodologies
• Benchmark engineering practices across Micron and the industry to maintain and evolve best-known methods (BKMs)
• Lead and support large-scale infrastructure design and construction projects, ensuring alignment with standards, codes, and regulations
• Develop and maintain global construction standards, specifications, and system concepts for deployment in new facilities
• Drive global initiatives focused on reliability, sustainability, and operational excellence, including emissions, energy, and water programs
• Consolidate lessons learned and feedback from global teams to continuously improve Micron’s engineering standards and BKMs

Global Facilities Senior/Principal Engineer – Mechanical

• The services requested are for Statistical Programming for clinical trials Phase I – IV utilizing SAS (Base and Macros) and R.
• Deliverables: Services rendered will adhere to applicable client SOPs, WIs, policies, local regulatory requirements, ICH-GCP, etc.
• Creation of ADaM datasets based on current ADaM standards.
• Creation of Tables, Listings and Figures following client specifications.
• Creation of Subject Narratives following client templates to support Narrative development.
• Creation of other ancillary data streams including (but not limited to) clinical registry reporting files (e.g. Clintrials.gov, EudraCT), Bioresearch monitoring reports (BIMO).
• QC of all programmed output.
• Creation and/or maintenance of detailed specification documentation.
• Development and validation of electronic submission packages that comply with submission requirements from FDA, EMEA and other regulatory agencies as needed.
• Includes support for standalone studies as well as integration of data across studies.
• The service holder is responsible to design, develop and maintain SAS code that is generic and that covers many trial types, can run on many study designs and meet study specific situations based on high reliable study metadata specifying the design and study specific situations.
• The service holder defines and maintains standard clinical data analysis metadata for use in clinical trials, including the traceability from Analysis Datasets and Analysis Results (ADaM) to Study Data Tabulation Datasets (SDTM).
• The service holder pre-configures the standards in line with the data lifecycle plan while maintaining the traceability and lineage of the data.
• The service holder documents and correctly manages the lineage between master standards and the many pre-configured standards.

Senior Statistical Programmer

• Design and deliver production-grade APIs and services powering a fast-growing mobile app
• Own end-to-end features—from system design to implementation and optimization
• Drive architecture decisions across microservices, scalability, and reliability
• Build systems that handle real-world traffic, latency, and edge cases
• Continuously improve performance (API, database, system throughput)
• Establish strong engineering foundations: testing, CI/CD, observability, and security
• Partner closely with Product, Design, App, Data and BE teams to define solutions—not just implement them
• Enable data-driven decisions through tracking, experimentation, and analytics
• Support integrations across mobile and IoT, turning real-world signals into product value

Full-stack Engineer, Virtual Insurance

• Own PE activities for assigned FHS NPI programs from first silicon through mass production release; drive product conformance to specifications and seamless transfer to full-volume manufacturing
• Lead wafer analysis and yield improvement initiatives; own yield loss Pareto, root cause investigation, and corrective action closure for CP and FT yield deviations
• Own BOM reconstruction and maintenance in Agile PLM and SAP for all FHS test hardware and product configurations; maintain full documentation with no single-person knowledge dependency
• Drive process improvement and CIP activities; monitor yield and quality metrics across processing steps, identify trends and anomalies, and implement targeted solutions
• Lead manufacturing qualifications and data analysis for alternate OSAT qualification programs; coordinate handler qualification, correlation lot design, Cpk analysis, and sign-off matrices
• Own RMA verification and customer escalation analysis; lead failure investigation and corrective action implementation to enhance FHS product quality and test coverage
• Drive PAT/SBL/SYL implementation across FHS product families; establish statistical process control baselines at primary and alternate OSATs and integrate with yield analytics platforms
• Support automotive qualification activities; assist in reliability testing coordination and qualification data package preparation
• Collaborate with cross-functional teams including R&D, Test Engineering, Quality & Reliability, Applications Engineering, and Operations to drive NPI milestones and production continuity

Senior Product Engineer

• Own the parser framework: identify patterns worth abstracting, design the primitives parser authors build on, improve performance on hot paths, and raise the reliability and testability bar across the team's output.
• Make the design calls that require judgment—schema mapping, normalization trade-offs, how to handle ambiguous or malformed data, when to generalize versus when to special-case, when to evolve the framework versus work around it.
• Drive high-impact parser integrations end-to-end where framework-level thinking is needed, setting the pattern that others follow.
• Partner with detection, data, and integration teams to make sure parsed data serves downstream use cases, not just passes validation.
• Mentor junior engineers through design discussions and code reviews, helping them grow into independent owners.
• Accelerate your own parser development using LLM-based coding assistants, AI-driven test generation, and automated code review.
• Use LLMs to analyze unfamiliar log samples, propose initial parsing rules, and bootstrap new integrations faster—while applying human judgment to catch what AI gets wrong.
• Automate repetitive parser work—regression testing, schema diffing, sample ingestion—so the team spends more time on hard problems.
• Help the team integrate AI tools into their daily parser workflows and measure the efficiency gains.

Senior, Staff Software Engineer – Parser Team

• Drive year over year improvement in FE labor productivity VAM/HC in support of the 5MORE productivity roadmap.
• Lead E2E execution and governance of FE labor productivity programs to ensure on time delivery and measurable outcomes.
• Standardize tools, methods, and processes across sites to enable scalable and repeatable execution aligned with enterprise goals.
• Integrate labor initiatives across AI, automation, robotics, DREAM team, and innovation programs into a cohesive execution plan.
• Track, validate, and report productivity benefits including labor hour reduction, VAM/HC, and annualized savings in partnership with Site’s Labor Champions & Finance team.
• Maintain and optimize the loading-based staffing (LBS) model to align staffing levels with actual workload demand.
• Provide governance support for SEAL and SWAT initiatives.
• Lead Labor SWAT initiatives to improve FE labor productivity and functional AI roadmap.
• Monitor labor performance metrics, identify gaps, benchmark best practices, and support performance recovery actions when needed.
• Enable cross site knowledge sharing to scale successful solutions and maximize network impact.
• Guide site and central teams to identify and prioritize productivity opportunities using AWMS workload data to convert effort into measurable time savings.
• Support development and execution of functional AI roadmaps across FE organizations with focus on reuse and scalability.
• Drive structured use case intake, value assessment, feasibility review, and deployment planning to ensure sustainable adoption.
• Develop KPI dashboards and management reporting to provide visibility into progress, adoption, and realized benefits.
• Translate data into actionable insights to support fact-based prioritization and decision making.
• Support workload forecasting, productivity baselining, and scenario modeling by coordinating requirements and validating outputs with stakeholders.

Senior/Staff Engineer, FE Labor Production & Data Engineering

• Drive year over year improvement in FE labor productivity VAM/HC in support of the 5MORE productivity roadmap.
• Lead E2E execution and governance of FE labor productivity programs to ensure on time delivery and measurable outcomes.
• Standardize tools, methods, and processes across sites to enable scalable and repeatable execution aligned with enterprise goals.
• Integrate labor initiatives across AI, automation, robotics, DREAM team, and innovation programs into a cohesive execution plan.
• Track, validate, and report productivity benefits including labor hour reduction, VAM/HC, and annualized savings in partnership with Site’s Labor Champions & Finance team.
• Maintain and optimize the loading-based staffing (LBS) model to align staffing levels with actual workload demand.
• Provide governance support for SEAL and SWAT initiatives.
• Lead Labor SWAT initiatives to improve FE labor productivity and functional AI roadmap.
• Monitor labor performance metrics, identify gaps, benchmark best practices, and support performance recovery actions when needed.
• Enable cross site knowledge sharing to scale successful solutions and maximize network impact.
• Guide site and central teams to identify and prioritize productivity opportunities using AWMS workload data to convert effort into measurable time savings.
• Managing programs involving pipelines of AI, GenAI, automation, and low code solutions, including copilots, digital footprint, and workflow automation.
• Support development and execution of functional AI roadmaps across FE organizations with focus on reuse and scalability.
• Drive structured use case intake, value assessment, feasibility review, and deployment planning to ensure sustainable adoption.
• Develop KPI dashboards and management reporting to provide visibility into progress, adoption, and realized benefits.
• Translate data into actionable insights to support fact-based prioritization and decision making.
• Support workload forecasting, productivity baselining, and scenario modeling by coordinating requirements and validating outputs with stakeholders.

Senior/Staff Engineer, FE Labor Prod, Data Engineering

• 主導從企業系統願景規劃、策略擬定到實際導入與落地運行的完整流程
• 參與具代表性的轉型專案，從前期策略規劃到實際導入上線，協助客戶將轉型藍圖落實為可執行的成果
• 協助客戶評估與導入Agentforce等新一代AI解決方案
• 參與專案各個關鍵階段，累積完整且具深度的實戰經驗
• 支援需求定義、設計、開發與測試等各階段工作

Technical Architect

• Installation/upgrade/technical support of 5DA product
• Project management for beta and product adoption at customer site
• Support HQ and local Business Unit to achieve their business goals

Software Engineer – Application

• Project Design and Construct and develop regional greenfield projects aligned with global standards.
• Collaborate with central sustainability, cost, construction, and line planning teams.
• Offer engineering assistance for site projects and sustainability efforts.
• Review and approve site capacity expansion and capital expenditures.
• Make decisions based on business needs for Facilities Reliability Improvement project capital expenditures.
• Support site system improvement projects, including system reliability improvements, quality enhancement, and equipment end-of-life replacements.
• Coordinate regional efforts and identify strategic program alignment opportunities (e.g., BCP, Critical Spec, Quality Defense Line).
• Offer engineering assistance for significant SIPP evaluations.
• Share lessons learned from regional events and influence the development of global standards.
• Serve as the primary liaison between regional sites and the Global Facilities Central teams.

Staff Engineer, Chemical Expert

• Develop and deploy transformative, model‑based solutions to improve frontend yield, quality, and performance
• Collaborate with cross‑functional partners to design and deploy solutions into manufacturing
• Drive solution deployment across sites, including technology transfer and ramp support
• Engage in research and development, evaluating emerging methods for semiconductor manufacturing

Senior Engineer – FE CPIE Transformative

• Design, develop, and maintain ATE software, including instrumentation software, shared or platform-level software, or DCV-related functionality
• Collaborate closely with other software engineers, as well as firmware, hardware, and applications engineers, throughout the design, development, integration, testing, and support of ATE solutions
• Participate in requirements discussions, technical design reviews, code reviews, and software release activities
• Troubleshoot and resolve complex issues involving software behavior, firmware interactions, and hardware dependencies
• Contribute to software quality with an emphasis on reliability, diagnosability, performance, and long-term maintainability
• Support and enhance legacy systems while contributing to new features and ongoing platform evolution
• Identify opportunities to improve development processes, tools, and engineering practices

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