Production Dx Engineer in Japan

Our vision is to transform how the world uses information to enrich life for all . Micron 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. 職務概要 F15 DXチームは、Fab15のHVM領域におけるデジタル化・自動化を推進し、サイクルタイム短縮、ライン安定化、FabPace改善を目的としたソリューション開発を担当します。製造現場の課題を分析し、データ駆動型の改善策を実装することで、Fabの競争力強化に貢献します。 職務内容 製造KPI（サイクルタイム、スループット等）の分析と改善策提案 自動化アプリケーションの開発（例：Lot Priority Auto Upgrade、FQ Postpone） データ可視化ダッシュボードの設計・構築（例：In-Time Delivery、Photo DBR） API開発およびUI設計による業務効率化 DX関連プロジェクトの要件定義、設計、UAT、導入 OMT DXチームとの連携によるFab全体のオートメーション推進 推奨Skill SQL/Python/Power BI/Streamlit/Tableau/Omelekでのダッシュボード構築 Job Summary The F15 DX team drives digitalization and automation initiatives in Fab15’s HVM area, focusing on cycle time reduction, line stability, and FabPace improvement. The team analyzes manufacturing challenges and implements data-driven solutions to strengthen Fab competitiveness. Key Responsibilities Analyze manufacturing KPIs (cycle time, throughput) and propose improvement actions Develop automation applications (e.g., Lot Priority Auto Upgrade, FQ Postpone) Desi

Our vision is to transform how the world uses information to enrich life for all . Micron 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. 職務概要 Production Shift Engineer は、Fab15のHVM製造ラインにおけるシフト勤務でのオペレーション管理を担当します。ラインの安定稼働、スループット最大化、サイクルタイム短縮を目的とし、異常対応や改善活動を通じて顧客納期遵守とFabの競争力強化に貢献。また、シフト業務の自動化/効率化を推進していただきます。 職務内容 製造ラインの稼働状況監視とラインバランス調整 サイクルタイム、スループット、稼働率などのKPI分析と改善提案 ロットフロー管理、優先度設定（Lot Priority） 異常発生時の迅速なトラブルシューティングとリカバリー対応 DXチームやOMTチームとの連携による自動化・効率化施策の推進 シフト間の情報共有とレポート作成 本ポジションはシフト勤務（4勤4休）となります 昼勤：08:00～20:15（実働10時間30分、休憩105分）/ 夜勤：20:00～08:15（実働10時間15分、休憩120分） 主要な役割 シフト時間帯におけるFab運用の責任者として、安定稼働を確保 緊急対応時の判断とリカバリー実施 KPI達成に向けた改善活動の推進 チームメンバーとの協働によるFabPace改善 必須条件 Excel・SQLを用いたKPI分析のデータ分析スキルと、異常時の原因分析に迅速に対応できる問題解決能力を持ち、なおかつ3年以上の実務経験がある方 日本語：ネイティブレベル （JLPT N1相当） シフト勤務が可能な方 歓迎条件

Our vision is to transform how the world uses information to enrich life for all . Micron 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. 職務概要 Production Line Management Engineerは、Fab15のHVM製造ラインにおけるオペレーションを担当し、ラインバランスの維持、スループット最大化、サイクルタイム短縮を目的とした運用管理を行います。製造現場の課題を分析し、改善策を実装することで、安定した生産と顧客納期遵守しMax Outに貢献します。 職務内容 製造ラインの稼働状況監視とラインバランス調整 サイクルタイム、スループット、稼働率などのKPI分析と改善提案 生産計画に基づくロットフロー管理、優先度設定（Lot Priority） 異常発生時の迅速なトラブルシューティングとリカバリー対応 DXチームやOMTチームとの連携による自動化・効率化施策の推進 FabPace改善活動への参画 必須条件 半導体製造プロセス、ライン管理、サイクルタイム改善の製造オペレーション知識を持ち、なおかつ3年以上の実務経験がある方 問題解決能力：異常時の原因分析と迅速な対応 コミュニケーション能力：現場オペレーター、DXチームとの協働 歓迎条件 データ分析スキル：Excel、SQLを用いたKPI分析 基本ITスキル：MES（生産管理システム）操作、レポート作成、標準ツールの活用 生産スケジューラの知識 英語力：日常会話レベル以上 日本語力：ビジネスレベル（JLPT N2相当）以上 Job Summary The Production Line Management Engineer is responsible for operations on the Fab15 HVM production line, f

Our vision is to transform how the world uses information to enrich life for all . Micron 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. 職務概要 Production Line Management Engineerは、Fab15のHVM製造ラインにおけるオペレーションを担当し、ラインバランスの維持、スループット最大化、サイクルタイム短縮を目的とした運用管理を行います。製造現場の課題を分析し、改善策を実装することで、安定した生産と顧客納期遵守しMax Outに貢献します。 職務内容 AI / SQL / Python 等を用いて問題の定期と解析及び解決のsolution提案。 製造ラインの稼働状況監視とラインバランス調整 サイクルタイム、スループット、稼働率などのKPI分析と改善提案 生産計画に基づくロットフロー管理、優先度設定（Lot Priority） 異常発生時の迅速なトラブルシューティングとリカバリー対応 DXチームやOMTチームとの連携による自動化・効率化施策の推進 FabPace改善活動への参画 必須条件 半導体製造プロセス、ライン管理、サイクルタイム改善の製造オペレーション知識を持ち、なおかつ3年以上の実務経験がある方 問題解決能力：異常時の原因分析と迅速な対応 コミュニケーション能力：現場オペレーター、DXチームとの協働 データ分析スキル：Excel、SQLを用いたKPI分析 歓迎条件 データ分析スキル：Excel、SQLを用いたKPI分析基本ITスキル：MES（生産管理システム）操作、レポート作成、標準ツールの活用 生産

Our vision is to transform how the world uses information to enrich life for all . Micron 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. MES/Schedulingの専門家としてscheduleの課題解決をリード。 主な業務領域： Leveraging AI（Artificial Intelligence）、および高度解析を活用したData解析とSchedule改善 Generative AI、Agentic AI、AI Assistantなどを活用したEquipment Log分析、異常検知、および改善提案 Fab Auto Stage Ratio管理 Qtime違反削減・装置Standby改善 RPA/SQL/API/Agentic Solutionを活用したダッシュボード・自動化機能の提供 Global BKMおよびAI活用事例の収集・展開 Power User育成（MAS/SQL/UiPath/Power Tools） IE理論教育（TOC/統計/MBPS/JITなど） Predictive Analytics、Anomaly Detection、Simulation技術を活用した製造パフォーマンスおよびスケジューリング最適化 Using AIおよびLeveraging Artificial Intelligenceを通じた業務改善、自動化、意思決定支援の推進 ■ 期待される役割 Fab15におけるSchedulingとAutomationの改善推進。 Scheduler改善の中核として他チームとの連携強化。 他Siteとの連携によるBest Practiceの導入と内製化。 MESトラブルシューティングの即応性向上。 ■ 必要なスキル・経験 Scheduling系システムの深い理解。 SQL/RPA/UiPath/Power BIなどのツール活用力。 統計・TOC・Queuing理論などIE基礎知識。 Global BKMの読解・展開力。 教育・コーチングスキル（Power

Production Scheduler Enhancement Engineer/生産計画（スケジューリング）改善エンジニア — Hiroshima - Fab 15, Japan. Apply via Workday.

HVM Production, Production Control Engineer — Hiroshima - Fab 15, Japan. Apply via Workday.

About the Team OpenAI’s Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems. We embed deeply with customers to solve high-leverage problems and act as the delivery engine for our most complex large-scale engagements. We move quickly from prototype to production and surface reusable patterns that shape our platform. We operate at the intersection of deployment and development – working closely with OpenAI Research, Product and Partnerships. About the Role As a Deployment Lead (DL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role This is a founding role. As a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. This is not a management role, however you'll own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is

About the Team The Applied AI Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the Role We are looking for a Cybersecurity Applied AI Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response work

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Tokyo. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Travel is expected in this role, mainly within Japan. To succeed in this position you must be bilingual—fluent in both Japanese and English (spoken and written). Please note that your resume must be submitted in English, and the interview process will include conversations in both languages. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope w

About the Team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the Role As a foundational FDE manager, you’ll lead FDE through high-stakes, ambiguous customer deployments and own technical and business value outcomes end to end. You’ll grow a team that can operate under pressure and help OpenAI learn from the field. You’ll partner closely with Product, Research, Sales, and GTM to ensure fieldwork informs roadmap priorities, drives new exploration, and supports safe deployment at scale. Your decisions will influence how OpenAI is trusted by the customers closest to our deployment work. Your success will be measured by how consistently your team ships, how clearly you deliver signal to Research and Product, and how durable your team and delivery model prove to be. This role is based in Tokyo. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. This role also will require travel up to 40%, although mainly local. To succeed in this position you must be bilingual—fluent in both Japanese and English (spoken and written). Please note that your resume must be submitted in English, and the interview process will include conversations in both languages. In this role, you will: Lead and grow a team of FDE delivering production systems with frontier models Own end-to-en

Position Summary: The Digital Experience (Senior) Supervisor is a position within the Brand Marketing Department responsible for end-to-end management of the digital experience on the official website — from planning and design through production, publication, and ongoing optimization. This role leads the production, updating, and maintenance of special sites and brand management pages related to brand content such as new products, services, and events, contributing to maximizing brand understanding, customer engagement, and demand generation in the Japanese market. This position is not simply a web production and operations role; it is responsible for enhancing brand understanding, product understanding, and customer engagement through the official website and owned channels. The role leads the planning, design, publication, and improvement of web experiences, appropriately managing external production and development agencies to improve both quality and speed. It also contributes to increasing brand value and business results through ongoing, data-driven improvement. Essential Functions and Key Responsibilities: Lead information architecture, page structure, wireframing, production progress, publication management, and ongoing optimization of special sites and brand management pages on the official website, based on a clear understanding of the planning intent, target audience, and key messaging. Des

About the Team The Applied AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with customers across industries to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. About the Role As the Manager of Applied AI Architects in Tokyo, you will lead a team of senior technical leaders responsible for the technical strategy, customer journey, and path to production value for OpenAI's largest and most complex customers across Japan. Your team will act as the “CTO of the book of business,” partnering with customer executives and technical teams from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact. You will set the operating model for how Applied AI Architects own technical account plans across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In close partnership with Sales leadership and Account Directors, you will help prioritize customer portfolios, allocate technical resources, and ensure business priorities translate into focused use cases, credible architectures, actionable adoption roadmaps, and durable customer value and g

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequent