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. ディスクリプション Description プランニングエンジニアは, それぞれの製造エリア単位で生産設備能力ならびに投資額計算を精度良く実施することにより, Fab15の生産計画, 投資計画に責任を持つ。またMCT, サプライチェーン部門, Fab15他部門等と協力し, 将来のFab15の姿をウェハアウト, 投資額の面から明確にしていくものである。 Planning engineer is responsible for Fab15 production planning and Capital expenditure scheme through implementation of production tool capability and investment cost calculation accurately to meet its requirement by each fab area and also take care of visualizing the future of Fab15 on a wafer out and investment-wise with support of MCT, Supply Chain and other departments in Fab15. 役割詳細(Role detail)(Roles and responsibilities) - 生産能力/投資計算(Capacity/Capital expenditure calculation) - Micronの生産能力計算データ構造, 手法を良く理解し, 製造各エリアレベルで生産能力を計算, ウェハアウト生産Mixの実現を確実にする。 Understand Micron's capacity calculation data structure and methodology to make sure that each process area can calculate their capacity in order to realize Waferout production mix - 3カ月に一度MOR updateに沿った生産能力ならびに投資額の算出を行う。 Calculate capacity and capital expenditure in accordance with MOR update on a quarterly basis. - 製品におけるMOR/PORのGapを認識し, 関係者に対して情報を提供する。 Recognize gaps of MOR/POR for each DID and pass down the information accordingly to the stakeholders - 適切なシステムの使用, 定期的なチェックにより, 生産能力計算の前提となるパラメータを精度よく維持する。 Maintain parameters accurately used for Capacity calculation through regularly use and periodical check - MCTと生産能力計算結果データのレビューを実施しすることにより他Fabとのベンチマークを行い, そのGapを理解し埋める活動を提案する。 Benchmark with other Micron Fabs through a joint review with MCT on a capacity calculation results and promote activities to develop understanding of and narrow the gap. - PEE/RnDと協力し投資額の最小化のためのアイデアを創出し提案する。 Create and propose ideas to minimize capital expenditure with collaboration with PEE and R&D - 将来の生産Mix変更に伴う検証 （シナリオ） Validation for the future production mix change(Scenario) - サプライチェーン部門(SnOP)と連携し, ４半期に２度, 市況や需要その他理由による将来の生産Mix変更(シナリオ)を生産能力と投資の面から検証する。 Collaborate with SnOP to verify and validate scenario two times in a quarter for potential production mix change due to market volatility, demands and other reasons from perspectives of capacity and capital. - 上記変更について, 関係者と情報共有する。 Share information among stakeholders in case of scenario modification - 生産能力計算結果に基づいた余剰設備の情報をレイアウトエンジニアへ情報提供する。 Provide information on excess tools based on the capacity calculation result to Engineers - その他Other requirements - Fabのプロジェクト業務において, ウェハアウトプット量や投資額等のデータが必要な場合は, プロジェクトに参加し情報提供する。 If you need to involve to obtain information on wafer output at any projects in the fab, capital expenditure and whatever, take part in associated ones to get message across. 要件（全て満たしている必要は無い） Qualifications to apply(not necessarily to meet all the requirements) - 1年以上のExcel, Powerpointの使用経験があること（必須） More than one(1) year experience of using Excel and Powerpoint(necessary to have) - 生産指標, 製造設備における一般知識を有する。 General knowledge for production key performance index, tools and equipments - 基本的な生産能力計算コンセプトを理解している。 Understanding of basic capacity calculation concept - 口頭, 記述にて英語のコミュニケーション能力を有する。 Have a better communication skill in verbal and written English - 強い問題解決能力を有する。 Strong ability for problem solving About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for 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. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_japan@micron.com Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI 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. Fraud 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.

Role Description Fuse is looking for a Founding GPU Engineer to develop and optimise GPU-accelerated software for data center systems. You'll work on low-level performance engineering for large-scale compute clusters, helping Fuse build the software layer that ties GPU workload behaviour to energy availability and grid demand. The Opportunity: - Fuse is in active discussions with major AI compute customers who need data center capacity across the markets we operate in, primarily for inference. - Demand significantly outpaces what we can currently build, meaning speed to power, reliability, and deployment cost matter more than specific hardware choice. - This puts CUDA/GPU performance engineering at the center of how Fuse serves some of the largest compute buyers in the market. Responsibilities - Design, implement, and optimise CUDA kernels for high-throughput, latency-sensitive workloads. - Profile and tune GPU performance across compute, memory bandwidth, and interconnect (NVLink/PCIe) bottlenecks. - Build tooling to correlate GPU cluster power draw and utilisation with real-time energy pricing and grid signals. - Optimise multi-GPU and multi-node scaling using NCCL, MPI, or similar communication libraries. - Work with data center infrastructure teams on power capping, dynamic voltage/frequency scaling, and workload scheduling strategies that reduce energy cost and carbon intensity. - Collaborate with ML/systems engineers to integrate custom kernels into training/inference pipelines. - Benchmark against CPU/GPU baselines and drive continuous performance improvements. - Contribute to internal libraries, documentation, and best practices for GPU performance engineering. Qualifications - 4+ years of experience writing production CUDA code, or equivalent strong project/industry experience. - Deep understanding of GPU architecture (SMs, warps, memory hierarchy, occupancy). - Proficiency in C++ and CUDA; experience with Python for tooling/orchestration. - Experience with performance profiling tools (Nsight Systems/Compute). - Familiarity with multi-GPU/multi-node scaling (NCCL, MPI, RDMA/InfiniBand). - Strong grasp of memory optimisation, kernel fusion, and parallel algorithm design. - Comfortable working across the stack from low-level kernels to system-level infrastructure. Nice to Have - Experience with Triton, cuDNN, cuBLAS, or custom ML inference/training frameworks. - Exposure to data center power/thermal management or demand-response systems. - Background in HPC, quantitative finance, or large-scale distributed systems. - Familiarity with Kubernetes/Slurm for GPU cluster orchestration. - Interest or experience in energy markets, grid systems, or sustainability-focused compute. Benefits - Competitive salary and an equity sign-on bonus. - Biannual bonus scheme. - Fully expensed tech to match your needs. - Breakfast and dinner allowance for office based employees.

Role Description We are looking for a capable, customer-oriented JavaScript / Node.js Engineer to help us build and maintain integrations with 3rd-party SaaS platforms. Your work will have a direct, visible impact on how well our product fits into customers’ workflows. - Building new connectors to external systems (e.g., MS Teams, Zoom, project management & billing systems such as Xero, DATEV, Asana, Jira, Clickup…) - Enhancing and maintaining our integrations marketplace & configuration system - Supporting our move towards a developer portal to open the integration ecosystem for partners & customers Qualifications - Several years of JavaScript experience in a company environment - Strong experience with Node.js - Experience working with REST and/or SOAP APIs - Familiarity with SQL (SQLite, PostgreSQL or similar) - Customer-oriented mindset and practical problem-solving approach - Team-player and clear communicator - Fluent in English Requirements - Experience working on B2B SaaS products (even better, but not required) - Experience with Serverless hosting (AWS Lambda, API Gateway, etc.) - Experience designing + documenting APIs - Automated testing experience - Experience as a team lead or mentoring engineers Benefits - Fully remote - no relocation - Full-time 40h / week - Your choice of hardware - Lean structure, fast decision-making and a high degree of ownership - Autonomy to drive meaningful impact and see your work reflected in the product quickly Interview Process Please upload your CV (PDF file) in the application form (Cover letter optional). If your submission meets our expectations, we invite you to a single 1.5-hour interview split into 3 parts: - General info (Company, position, etc) - Technical interview - Your questions We ask a lot of questions in the application form, to not waste your time with several interviews. That's why it should not take longer than 2-3 weeks from filling out the application to getting an offer from us.

Title: Principal Engineer - AI /ML Platform (Remote Or Hybrid) Location: Brooklyn Park, MN, USA This job is also available for the following locations - 100 Mathilda Place, Sunnyvale, CA The pay range is $168,000.00 - $356,000.00 Job Description: Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits. PRINCIPAL ENGINEER – AI PLATFORMS About Us Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here. Target's AI Platform organization is building the next generation of enterprise AI capabilities that enable teams to develop, deploy, govern, and operate Machine Learning and Generative AI solutions at scale. Our platform powers AI innovation across the enterprise by providing secure, scalable, and reusable capabilities that accelerate development while maintaining enterprise standards for reliability, governance, and operational excellence. As a Principal Engineer – ML Operations Platform, you will provide technical leadership in defining the architecture and evolution of our enterprise machine learning platform. You will work across engineering, data science, infrastructure, security, and product organizations to establish scalable patterns for developing, deploying, monitoring, and governing machine learning systems throughout their lifecycle. This role is ideal for a technology leader who enjoys solving complex platform challenges, influencing engineering strategy, and building capabilities that enable hundreds of engineers and data scientists to deliver AI solutions efficiently and safely. About the Role: As a Principal Engineer, you will define the long-term architecture and technical direction for Target's ML Operations Platform. You will establish enterprise-wide standards for machine learning lifecycle management, deployment, governance, observability, and operational excellence while partnering with cross-functional engineering teams to modernize AI platform capabilities. You will influence architecture across multiple organizations, mentor senior engineers, evaluate emerging technologies, and guide strategic platform investments that improve developer productivity and accelerate AI adoption. Key responsibilities include: - Define the long-term technical strategy and architecture for the enterprise ML Operations Platform. - Design scalable, secure, and resilient cloud-native platforms supporting machine learning workloads. - Establish best practices for model development, deployment, monitoring, and lifecycle management. - Lead architecture for enterprise machine learning infrastructure supporting batch, streaming, and real-time inference. - Drive adoption of cloud-native technologies, Kubernetes, and modern platform engineering practices. - Define standards for model governance, observability, reliability, explainability, and responsible AI. - Partner with infrastructure, security, and engineering teams to improve platform scalability, performance, and operational efficiency. - Evaluate emerging technologies and recommend architectural approaches that improve platform capabilities. - Mentor engineers and influence technical direction across multiple engineering organizations. Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs. About You: - MS in Computer Science, Engineering, Mathematics, or related technical field with relevant software engineering experience - Extensive experience designing and delivering large-scale cloud-native platforms or distributed systems - Deep experience building and operating enterprise machine learning platforms and MLOps capabilities - Strong understanding of machine learning lifecycle management, deployment strategies, observability and production operations - Demonstrated experience with machine learning platforms and tooling such as Vertex AI, Kubeflow, MLflow, and/or equivalent technologies - Experience building developer platforms or internal platform products - Experience with distributed training, GPU infrastructure, and large-scale inference platforms - Experience with feature management, model governance, and responsible AI practices. - Familiarity with Generative AI platforms and infrastructure supporting foundation model workloads - Experience with Terraform, GitOps, service mesh technologies, and platform automation - Experience mentoring senior engineers and leading enterprise-scale modernization initiatives - Expertise designing Kubernetes-based platforms supporting AI and machine learning workloads - Strong understanding of software engineering best practices including CI/CD, infrastructure as code, observability, testing, and automation - Experience defining technical strategy, architectural standards and engineering best practices across multiple teams - Excellent communication and influencing skills with the ability to communicate complex technical concepts to engineering and business leaders This position may be considered for a Remote or Hybrid (known internally at Target as "Flex for Your Day") work arrangement based on Target's needs.  A Remote work arrangement means the team member works full-time from home or an alternate location that's not a Target location, does not have a desk at a Target location and may travel to HQ up to 4 times a year.  A Hybrid/Flex for Your Day work arrangement means the team member's core role may be performed either remote or onsite at a Target location depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Benefits Eligibility Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_F Americans with Disabilities Act (ADA) In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.