Production Scheduler Enhancement Engineer Jobs

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.

About the Role We are looking for a Senior SAP BW/BI Developer to design, build, and optimize enterprise data warehousing solutions on SAP BW. The ideal candidate has deep hands-on experience across the full SAP BW/BI stack — from data extraction and ABAP development to performance tuning and cross-platform data integration — and can independently own complex data solutions from design through production support. Key Responsibilities Design and develop SAP BW/BI solutions, including data models, extraction logic, and reporting objects to support business analytics needs. Build and maintain data ingestion pipelines from SAP ECC and functional modules including PM, FI/CO, SD, MM, and C4C into SAP BW. Develop, enhance, and debug custom extractors, user exits, and enhancements using ABAP programming. Design and build DSOs (Data Store Objects), InfoCubes, and BEx Queries to support reporting and analytics requirements. Develop and maintain APDs (Analysis Process Designer) to extract data from BW and push output files to application servers for downstream consumption. Analyze, troubleshoot, and optimize BW query and load performance, particularly for large data volumes. Build and support connectivity between SAP BW and external data platforms, preferably Cloudera and/or Google Cloud Platform (GCP). Design, schedule, and monitor Process Chains to automate data loads and ensure data availability SLAs are met. Manage Transport Requests across development, quality, and production landscapes following change management best practices. Create and maintain technical documentation, including design specs, data flow diagrams, and process runbooks. Collaborate with functional consultants, business analysts, and downstream data teams to translate business requirements into technical solutions. Provide production support, root-cause analysis, and long-term fixes for data and performance issues Requ

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. As Test Production Supervisor at Micron Technology, Inc., you will supervise the activities of a production staff in a manufacturing area. Plans and coordinates daily operations to meet production schedules, product standards, and operational costs. Prepares production, personnel, and quality reports to achieve production goals. Establishes operating policies and procedures to achieve production schedules, product standards, and operational costs. Additional responsibilities include reporting organization and department project leading and coordination, participating in productivity enhancement, quality improvement, cycle time improvement and cost reduction activities, handling manufacturing team performance baseline and management. *該職缺需配合產線需求輪夜班 AI Relevant Job Responsibilities: - Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements. - Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work. - Ability to apply baseline digital fluency and role ‑ appropriate AI literacy to use AI ‑ enabled tools responsibly and effectively for research, analysis, content creation, problem ‑ solving, operational tasks, and achieving business <p style="text-align:inherit

Citi's Markets Quantitative Analysis (MQA) group is seeking a highly skilled VP Quantitative Analyst to join its Equities team. This role is central to the research, design, implementation, and maintenance of cutting-edge Equities Execution Algorithms for Citi's clients and internal trading desks, with a specific focus on North America and LATAM markets. This position offers a unique opportunity to apply strong quantitative, technical, and soft skills to foster innovation within a collaborative team culture, directly impacting trading businesses, control functions, and the global client base. Key Responsibilities Algorithmic Development & Enhancement: Design and develop new algorithms and strategies for the next generation equity trading platform initiative at Citi. Research, design, and implement improvements for existing algorithmic trading strategies (e.g., VWAP, liquidity seeking). Develop and enhance quantitative models, including optimal schedule, market impact models, and short-term predictive signals (e.g., fair value). Implement algorithm enhancements and customizations with production-quality code, applying best practices for modular, reusable, and robust trading components. Data Analysis & Modeling: Perform in-depth analysis of large datasets comprising market data, orders, executions, and derived analytics. Apply statistical modeling and machine learning techniques for data analysis and signal generation. Conduct flow analysis and performance tuning for various client flows. Provide data and analysis to support initial model validation and ongoing performance analysis. Collaboration & Support: Collaborate closely with traders, risk managers, product, sales, and technology teams to integrate quantita

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. The PBM Batch Operations role is responsible for providing 24x7 operational support for Pharmacy Benefit Management (PBM) production processing environments. The position monitors, controls, and supports enterprise batch workloads, mainframe systems, iSeries environments, and associated operational processes to ensure critical pharmacy and business applications execute successfully and on schedule. Schedule: WorkDays: TBD Hours: 7 AM to 7PM AZ time Shift Structure: Three 12-hour shifts Additional Requirement: Must be available to work overtime as needed to provide coverage PBM Batch Operations Functional Responsibilities The PBM Operations environment includes responsibility for: Monitoring and supporting IWS (IBM Workload Scheduler) batch processing. Batch job interventions (restart, hold, kill, force complete). Mainframe IPL support. Mainframe console monitoring across multiple LPARs. RxClaim and iSeries batch monitoring. PBM Disaster Recovery support. Vendor escort activities and data center operational support. Data center security ticket processing. MIR3 paging and incident notifications. ServiceNow ticket management. Procedure verification and operationa

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. The PBM Batch Operations role is responsible for providing 24x7 operational support for Pharmacy Benefit Management (PBM) production processing environments. The position monitors, controls, and supports enterprise batch workloads, mainframe systems, iSeries environments, and associated operational processes to ensure critical pharmacy and business applications execute successfully and on schedule. Schedule: WorkDays: Wednesday through Saturday Hours: 7:00 PM to 5:00 AM AZ time Shift Structure: 10-hour shifts Additional Requirement: Must be available to work overtime as needed to provide coverage PBM Batch Operations Functional Responsibilities The PBM Operations environment includes responsibility for: Monitoring and supporting IWS (IBM Workload Scheduler) batch processing. Batch job interventions (restart, hold, kill, force complete). Mainframe IPL support. Mainframe console monitoring across multiple LPARs. RxClaim and iSeries batch monitoring. PBM Disaster Recovery support. Vendor escort activities and data center operational support. Data center security ticket processing. MIR3 paging and incident notifications. ServiceNow ticket management. Procedure ver

About the Role REMOTE IN INDIA We're looking for a software engineer to build the Kubernetes-native control plane that provisions and runs our GPU inference fleet. You'll design a manifest-driven API where the inference team declares what they need, whether that's a cluster, a model deployment, or a capacity change, and our controllers handle the reconciliation, provider/runtime selection, and lifecycle management underneath, so the inference team never has to know or care which specific serving stack, scheduler, or hardware pool is doing the work. You'll also build the systems that keep the fleet efficient, not just running, including defragmentation and rebalancing logic that consolidates scattered workloads back into contiguous capacity, and scheduling/bin-packing improvements that push GPU utilization up without hurting latency. The core value we're after is decoupling the people building on top of the platform from the operational and runtime complexity underneath, while squeezing more usable capacity out of the same hardware. You'll build the controllers, reconciliation loops, and self-service surface (API/CLI, not tickets) that make that decoupling real, plus the event-driven health, remediation, and utilization systems that keep it running and efficient without a human in the loop. Strong candidates have hands-on experience with Kubernetes controller/CRD patterns, have built or operated a platform API that abstracts multiple backends behind one interface, understand GPU scheduling and capacity efficiency (fragmentation, bin-packing, right-sizing), and think about GPU infrastructure as software to be engineered. A product mindset - you've built internal platforms or APIs consumed by other engineering teams and care about the developer experience of what you ship. You build it, you own it. You are not only responsible for delivering the software but also for operating and supporting it in production. Responsibilities Build the provisioning state machine

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE Baseten is building its own GPU infrastructure for large-scale inference. As we move into large scale, high-density NVIDIA systems, the hardest failures are intermittent, cross-layer, and difficult to prove: RoCE congestion, InfiniBand stalls, ECN/DCQCN mis-tuning, bad optics, RNIC issues, host kernel stalls, GPU driver problems, and workload symptoms that look like network problems, but are not. We are hiring a Lead Software Engineer to build a first-class observability and root-cause analysis system for GPU fabrics. This is a hard distributed systems problem, not a dashboarding problem. The system will collect high-volume signals from switches, hosts, active probes, and inference services; reduce and correlate them in real time; understand topology and service ownership; and produce actionable diagnosis while an incident is still unfolding. This role sits at the boundary between networking and inference software. RDMA data paths, GPUDirect transfers, prefill/decode disaggregation, KV cache movement, request routing, and workload backpressure can all create fabric symptoms or hide real fabric failures. The goal is to tell an operator, quickly and with evidence, whether an incident is caused by the fabric, host, NIC, GPU, RDMA path, scheduler, or serving layer — and what to do next. EXAMPLE INITIATIVES Real-time telemetry engine — Build the ingestion, reduction, storage, and query path for high-cardinality fab

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As a Software Engineer at on the Training Infrastructure team, you'll architect and lead development of our training platform, supporting top tier research engineers and model developers. You'll make key technical decisions for the infrastructure enabling developers to deploy, scale, and monitor their workloads with high performance and reliability. You’ll own scheduling, storage, networking, reliability, and observability of technical systems in the training stack EXAMPLE INITIATIVES Take a look at what we’ve built so far: Overview of the product so far Training docs overview Story of the Training product Research we've done RESPONSIBILITIES Design and architect scalable infrastructure systems for our ML training platform (e.g. scheduling, storage, and networking) Partner closely with developers and research engineers to translate complex training requirements into technical solutions Design and architect a global training scheduler Design and architect reinforcement learning systems and continuous learning pipelines Drive long-term improvements to improve reliability of systems and velocity of development Partner closely with SRE and Capacity teams to unlock state of the art training infrastructure Make critical architectural decisions balancing performance with system reliability Lead technical discussions and mentor junior engineers on infrastructure best practices Contribute to long-term technical strateg

About Anyscale: At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the role: Ray aims to provide a universal API for building distributed applications (e.g. a machine learning pipeline of feature engineering, model training, and evaluation). Data is usually a core element connecting these different stages, and therefore plays a critical role in Ray’s usability, performance, and stability. We are looking for strong engineers to build, optimize, and scale Ray’s Datasets library and data processing capabilities in general. About the Ray Data team: The Ray Data team currently develops and maintains the Ray Datasets library, which is already powering critical production use cases (e.g. large scale data compaction at Amazon , and ML pipeline at Alibaba ). Ray Datasets is a Python library built on top of Apache Arrow and Ray Core (Ray’s C++ backend), and the Ray Data team interacts closely with Ray Core components including the scheduler and the memory & I/O subsystems. The Ray Data team also works closely with Ray’s ML libraries including Train, RLlib, and Serve. A snapshot of projects you will work on: - Performance of Ray Datasets at large scale (leveraging Arrow primitives, optimizing Ray object manager, etc.) - Integration with ML training and data sources - Stability an

Technical Lead - Backend About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the role: We are looking for a Tech Lead for the Gold Tech team to drive technical direction, architecture, and delivery of Paytm Digital Gold — a high-scale bullion platform serving consumer and merchant use cases at lakhs+ rpm. This role combines hands-on engineering with technical leadership — you will architect solutions, unblock the team, own critical money-path reliability, and partner with Product and Engineering leadership on roadmap and execution. We are building reliable, high-availability financial products and need a Tech Lead who can own modules end-to-end, raise the bar on code quality, and mentor junior engineers. Key Responsibilities: ● Define and evolve technical architecture for Gold services — scalability, reliability, security, and maintainability. ● Lead design and implementation of high-availability, high-volume transactional systems. ● Own end-to-end delivery of major initiatives — breakdown, estimation, risk management, and production rollout. ● Set engineering standards: code quality, review practices, testing strategy, observability, and incident response. ● Drive cross-service integration design. ● Guide the team on Kafka event design, scheduler orchestration, CDC pipelines, and data consistency patterns. ● Mentor and grow engineers (SSE and below); conduct reviews, pair on complex problems, and build team capability. ● Contribute hands-on to critical modules; unblock the team on complex bugs, performance issues, and production fires. ● Represent Gold Tech in architecture reviews, tech debt prioritization, and platform-wide initiatives. Skills Required: ●

Job Title Production Planner Job Description Production Planner Your Role: Job Responsibilities: • Ensures on-time delivery of customer orders by managing the quality of planning-related master data in close cooperation with Enterprise Information Management (EIM). • Generates a feasible/final Master Production Schedule (MPS) from the Initial/semi-final MPS provided by the Supply Planning function. • Develops a feasible Detailed Production Schedule (DPS) and Material Requirements Plan (MRP) from the MPS while minimizing changeover times in collaboration with Production/Operations Management. • Works diligently to optimize the utilization of both workforce and equipment, strategizing to enhance efficiency and productivity across production operations. • Coordinates planning-related master data in concert with Enterprise Information Management (EIM), ensuring data integrity and consistency to facilitate effective decision-making. • Releases meticulously crafted production schedules to the shop floor, ensuring that operational activities align seamlessly with organizational objectives and priorities. • Facilitates regular and structured planning handshake meetings with Production/Operations Management, fostering open communication channels to address challenges, align priorities, and drive operational excellence. • Engages in troubleshooting production orders and materials, promptly identifying and resolving issues to maintain operational continuity and uphold delivery commitments. You Are a Great Fit If: • Bachelor’s degree in computer science, Software Engineering, Electronics, Information Technology, or a related engineering discipline. • Minimum 2 years till 5 years of experience in production plant or manufacturing site or equivalent. Exte

Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72&#43; million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life We are looking for a Production Planner that combines analytical thinking, organization, problem-solving, communication and proactive leadership to ensure the right product is made at the right time with the right resources. Responsibilities may include the following and other duties may be assigned. Plans, prepares, issues, and controls production schedules and directs material requirements to ensure a controlled flow of raw and approved finished goods materials timed to meet production requirements. Advises management of the status of work in progress, material availability, inventory levels, and potential production or material supply disruptions to ensure that personnel, equipment, materials, and services are provided on-time and at an optimal cost. Schedules equipment and personnel, confirms material supply and demands, prepares work orders or purchase requests for the production or purchase of components or parts based on a master production schedule, shop load, and inventory requirements. Coordinates interdepartmental activity with quality assurance, manufacturing, purchasing, engineering, inventory control, traffic, demand planning, etc.; schedules and expedites the movement of parts by means of move orders, stock transfers, and requests for shipping orders. Required Knowledge and Experi

The Area Incharge is responsible for supervising shop floor activities related to wind turbine blade manufacturing, ensuring that production schedules and quality standards are met. This role oversees material handling, equipment operation, and maintenance, while implementing process improvements and safety protocols. Additionally, the Area Incharge tracks production performance, provides training, and supports continuous improvement to enhance efficiency and minimize waste. Source: Adani Group | Job ID: 56864

The Lead - Module Production is responsible for managing the day-to-day operations of the module production line, ensuring adherence to production schedules, quality standards, and safety protocols. This role focuses on optimizing production processes, minimizing waste, driving continuous improvement initiatives, and achieving production goals. The Lead ensures smooth coordination between teams, manages resource allocation, and resolves production issues to ensure timely delivery of high-quality modules. Source: Adani Group | Job ID: 51827