Total 50 operations advisor job vacancies in Manufacturing / Production category in Singapore

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 part of the HIG HBM Product Engineering organization, you will help drive the development of next-generation GenAI, machine learning, and advanced data analytics solutions for semiconductor engineering. In this role, you will work on intelligent systems that improve engineering productivity, strengthen technical decision-making, and unlock insights from complex manufacturing, validation, and engineering workflows. 

You will collaborate with cross-functional teams across Product Engineering, Design Engineering, System Engineering, Data Science, IT, and Manufacturing to prototype, build, and scale practical AI-driven solutions that improve quality, cost, cycle time, and engineering efficiency. 

Key Responsibilities 

• GenAI System Development: Design, build, and improve GenAI-powered and agentic systems supporting semiconductor engineering workflows such as code generation, data extraction, analytics, documentation automation, failure triage, and technical knowledge retrieval.  

• Large-Scale Data Pipelines: Develop scalable data pipelines and analytical workflows to ingest, clean, transform, and analyze large, complex, and heterogeneous datasets from multiple manufacturing and engineering systems.  

• Advanced Data Analytics: Apply Python, SQL, and data science libraries (e.g., pandas, matplotlib) to perform deep analysis, generate visualizations, and deliver actionable engineering insights.  

• LLM Workflow Engineering: Build, evaluate, and optimize LLM-based workflows, including prompting, retrieval-augmented generation (RAG), inference orchestration, benchmarking, and quality evaluation.  

• Machine Learning Production: Develop and productionize machine learning and deep learning models for classification, regression, anomaly detection, failure analysis, and engineering decision support.  

• Distributed Data Processing: Implement robust data processing techniques such as data cleansing, outlier detection, and missing-data handling using distributed or large-scale frameworks (e.g., PySpark, BigQuery).  

• Cross-Functional Collaboration: Partner with domain experts and cross-functional teams to translate complex engineering problems into scalable AI/ML and analytics solutions.  

• Production Deployment: Support deployment, monitoring, and operationalization of AI/ML solutions in cloud and enterprise environments.  

• Technical Communication: Communicate technical findings, recommendations, and model outcomes clearly to both technical and non-technical stakeholders.  

• Innovation Leadership: Identify and drive high-impact opportunities where GenAI, machine learning, and analytics can improve engineering productivity and business outcomes. 

Minimum Qualifications 

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, Data Science, Statistics, Artificial Intelligence, or a related field. 

• Minimum 2 years of hands-on experience developing and deploying AI applications in semiconductors, electronics, or other engineering industries. 

• Strong programming proficiency in Python and SQL.  

• Strong technical foundation in data analytics and visualization, including tools and libraries such as pandas, scikit-learn, matplotlib, plotly, or similar ecosystems.  

• Familiarity with agentic AI frameworks such as LangGraph, Google ADK, AutoGen and evaluation tools like AgentEval. 

• Familiarity with modern AI coding tools / agentic coding harnesses, such as Claude Code, Roo Code, Cursor, Cline, Windsurf, Gemini CLI, or similar tools.  

• Hands-on experience developing and deploying AI/ML systems involving LLMs, including RAG, agentic workflows, and frameworks such as PyTorch or TensorFlow. 

• Cloud experience with GCP, AWS, or Azure, including deploying ML pipelines in production. 

• Experience with LLM training, inference, and evaluation workflows, including prompt design, benchmarking, validation, or retrieval-augmented systems.  

• Experience analyzing large, complex, and heterogeneous datasets from multiple systems and applying sound techniques for data cleansing, outlier handling, and missing-data treatment.  

• Strong analytical, problem-solving, and software development skills.  

• Strong communication skills with the ability to explain technical concepts and findings effectively.  

• Strong sense of ownership, accountability, and engineering rigor. 

Preferred Qualifications 

• Experience building agentic systems or AI solutions for semiconductor manufacturing, product engineering, validation, yield improvement, reliability, or failure analysis. 

• Deep understanding of semiconductor-specific AI/ML applications 

• Demonstrated understanding of deep learning architectures and computer vision.  

• Experience using enterprise data platforms such as BigQuery, Snowflake, MSSQL, Oracle, or Redshift. 

• Experience with Kubernetes or similar production infrastructure and deployment frameworks. 

• Experience with web application technologies such as JavaScript, HTML, and CSS.  

• Experience designing scalable, enterprise-grade AI/ML systems with attention to reliability, traceability, and operational readiness. 

• Familiarity with document-processing pipelines, technical knowledge platforms, or retrieval systems for engineering content. 

• Experience working in cross-functional environments spanning engineering, manufacturing, data science, and IT. 

Key Responsibilities

• Lead the daily operations of the Singapore manufacturing site, manage and develop the local team, including operators, warehouse personnel, and administrative staff, and independently resolve day-to-day operational issues.
• Drive new product introduction (NPI) and production transfer projects from HQ to the Singapore site.
• Develop a strong understanding of products, production processes, testing requirements, and quality standards to support future product launches.
• Ensure stable production, on-time delivery, and continuous improvement in operational efficiency, quality, and cost.
• Coordinate closely with HQ teams across manufacturing, engineering, quality, supply chain, and logistics functions.
• Build and manage relationships with local suppliers and service providers, and support future localization initiatives.
• Ensure compliance with local regulations, company policies, and operational procedures.

Requirements

• 5+ years of experience in manufacturing, production, factory, or operations management.
• Experience in new product introduction (NPI), production transfer, or factory setup/build-up projects is highly preferred.
• Experience working in small-to-medium manufacturing environments and managing cross-functional responsibilities is preferred.
• Familiarity with ERP/WMS/MES systems is preferred
• Strong problem-solving and communication skills
• Hands-on and willing to work closely with the shopfloor team when required
• Fluent in English and Mandarin (Mandarin is required for communication with HQ)

Our Client:

Our client is a global technology company operating a large‑scale digital platform used by millions of users worldwide. The organisation develops and manages high‑impact consumer and enterprise‑level digital products, supported by advanced data, automation, and content delivery capabilities.

Job Details:

1. Contract Duration: 12 Months

2. Working Location:  One Raffles Quay

3. Working Hour: 10 - 7 pm

Job Descriptions:

Program & Product Operations

• Own the end-to-end affiliate program experience, including partner onboarding, activation, and lifecycle management.

• Design and launch affiliate initiatives (e.g., campaigns, missions, incentives) within internal platforms, ensuring scalability and strong user experience.

• Drive partner growth through targeted lifecycle campaigns (acquisition, activation, reactivation) using CRM and engagement tools.

• Manage and continuously improve the affiliate ecosystem and community experience at scale.

Product Analytics & Insights

• Leverage data to evaluate product and campaign performance, uncover growth opportunities, and identify friction points in the user journey.

• Monitor key metrics (e.g., activation rates, conversion, tracking accuracy) and proactively surface anomalies or performance gaps.

• Translate data insights into actionable product and operational improvements.

Product & Process Optimisation

• Continuously refine workflows and user journeys across onboarding, campaign setup, communications, and support.

• Identify product gaps, tooling limitations, or UX pain points, and partner closely with Product and Engineering teams to implement enhancements.

• Contribute to roadmap discussions by providing data-backed recommendations to improve platform functionality and partner experience.

Partner & Stakeholder Experience

• Act as the voice of affiliates by addressing partner needs related to platform features, attribution, incentives, and performance.

• Collaborate cross-functionally with product, marketing, and support teams to deliver a seamless and consistent partner experience.

• Support enablement through training materials, knowledge hubs, and scalable documentation.

Quality, Governance & Platform Integrity

• Ensure campaigns, incentives, and partner activities align with platform policies, compliance standards, and regional regulations.

• Maintain high standards of data integrity, tracking accuracy, and overall platform reliability.

Web & Digital Experience Management

• Own and optimise affiliate-facing digital touchpoints (landing pages, education hubs, dashboards).

• Iterate on content, design, and UX using CMS tools (e.g., Webflow, WordPress) to improve conversion and usability.

Requirements

• 5-8 years of experience in product operations, growth and digital platforms.

• Strong data handling skills (Excel/Sheets; SQL a bonus).

• Ability to build and update web pages (Webflow/WordPress/HTML/CSS basic proficiency advantageous).

• Demonstrated ability to identify user pain points and drive cross-functional solutions.

• Strong problem-solving and cross-team coordination abilities.

Interested candidates, please click on the following link to begin your job search journey and submit your curriculum vitae (CV) directly through the official PERSOL job application platform - GO.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolsingapore.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOL Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R22111375 Chua Jie Lin

As a key talent within High Bandwidth Memory (HBM) Product Engineering Media Health team, you will spearhead and develop a high performing team driving both intrinsic and extrinsic reliability test development and execution for Micron’s latest HBM products, both on DRAM and Interface die and a stacked product. Your responsibility is to drive extrinsic DPM reduction (Time 0 and Field DPM) and lead the intrinsic reliability charter, along with optimized Manufacturing Test Flow to meet critical KPI’s Quality, Cost and Cycle Time.

You will be leading the team to characterize the products from reliability aspect, identify the reliability gaps, working on root cause and resolution of qual and RMA failures pertaining to defectivity and intrinsic reliability margin and drive fab process improvement driven by the qual failures. Additionally, your team will also be the key person in frontend process conversion, where you will work with Fab, TD, GQ teams to establish robust business process for process conversions to facilitate yield improvements, DPM and Cost Reduction. You will collaborate across functions within and outside of HBM to meet both strategic and tactical objectives while continually maximizing the effectiveness of the HIG HBM PE organization. The future of HBM are exciting and dynamics. Micron is seeking experienced individuals that find technical challenges engaging and invigorating.

Responsibilities:

• Reliability Test Flow Development: Define and develop reliability stress, test flows and test plans to cover all Product Reliability aspects.

• Reliability Test Plan and Execution: Work closely with Global Quality team to define qualification plan, review and manage the qualification execution progress, and drive for qualification gating issue resolution.

• DPM reduction: Drive down and achieving Extrinsic Reliability (Time 0 and Field DPM) and Intrinsic Reliability through Optimized Manufacturing Test Flows and Test Strategy to meet critical KPI’s Quality, Cost and Cycle Time

• Root Cause and Resolution of Qual and RMA Device Issues pertaining to defectivity and intrinsic reliability: Debug and identify root cause and failures in reliability tests by electric failure analysis(EFA) and Physical Failure Analysis (PFA) and drive for resolution and improvements through cross functional team collaboration.

• Process Conversions and HVM: The role involves providing recommendation to fab teams for new process conversions to reduce cost, increase yields. This is critical as it directly impacts the yield, quality, reliability, and performance of HBM products, which are key components in many modern technologies.

• Risk Management: The role requires communication with Product Managers/Leads to manage risks associated with DPM process conversions. This is crucial in ensuring that the conversions move at an appropriate pace, balancing the need for innovation with the need for stability and reliability.

• Promotion of Innovation: The role involves promoting innovation and driving for changes that will provide Micron with a technical advantage over its competition. This is vital for maintaining Micron’s competitive edge in the market.

• Mentorship and Development of Others: The role involves actively developing and mentoring others. This is important for the growth and development of the team and the organization.

• Project Management: Developing project management skills within the team ensures efficient execution of projects, leading to timely delivery of technological solutions.

• Technical Decision Making: The role involves making final decisions on risk analysis and project prioritization. These decisions directly impact the direction of technological development.

• Cross-Functional Collaboration: This role necessitates collaboration with various cross-functional teams such as Fab, HBM Technology Development, HBM Design, System Development, and Quality/Reliability team. This collaboration is vital for the holistic development and shipping of end products.

Requirements

• Bachelors/Masters Electrical and Electronics Engineering Degree with 5+ years of experience in the semiconductor industry. Product Engineering experience is preferred.

• Demonstrating Strong Technical Skills, especially in problem solving with root cause understanding and solution space through in depth circuit analysis.

• Good knowledge of statistics and data analysis tools and scripting tools such as Python or JMP.

• Dedicated and highly motivated with a flexible approach towards adapting to different roles in a dynamic working environment (from leading the team to leading technical programs).

• Proven track record of collaborative work within/across teams to address sophisticated business and engineering problems.

• Strong sense of responsibility and accountability towards assigned role with professional work ethic.

• Excellent communication and presentation skills.

• Passionate about people leadership, with a drive toward ongoing learning and development in this area.

• Work on site in Singapore with international travel to US, Taiwan and Japan.
  

  Performs hardware, software, semiconductor design or telecomm engineering assignments. This job mappin

Role Summary:
This role sits within the Client Experience department, focusing on understanding Customer Service workflows and operations, and translating them into scalable, system-driven solutions. The Product Operations executive will act as a key bridge between Customer Service and product teams, driving process optimization, automation, and continuous product improvements to enhance operational efficiency and customer experience.

Job Responsibilities:

1. Business Process Mapping & Optimization
• Gain a deep understanding of Customer Service workflows and operations within the Client Experience department
• Map out existing manual processes, identifying inefficiencies and risk points
• Design standardized and scalable business processes and SOPs
• Define key functional logic, data fields, process nodes, and exception-handling mechanisms
2. Product Requirement Development
• Act as a bridge between Client Experience (Customer Service) and product teams to translate operational needs into product improvements
• Clearly articulate Customer Service workflows and requirements to product teams, ensuring accurate implementation
• Based on business pain points, produce clear and comprehensive Product Requirement Documents (PRDs)
• Transform manual processes into system-driven and automated solutions (e.g., rule engines, approval workflows, configurable tools)
3. Cross-functional Collaboration & Execution
• Work closely with product managers and technical teams to drive requirement reviews, development, and deployment
• Liaise with relevant product departments to improve system capabilities supporting Customer Service operations
• Track project progress, coordinate resources, and ensure timely delivery
• Participate in UAT testing to ensure features meet business needs and enhance operational efficiency
• Establish key performance indicators (KPIs), continuously track post-launch performance, and analyze data (efficiency gains, manpower savings, error rates, etc.)

Job Requirements:

1. Experience Requirements
• Bachelor’s degree or above; preference for majors in Finance, Economics, Information Management, or related fields
• At least 3 years of experience in product operations, business operations, Customer Service operations, or related roles
• Experience in fintech, trading platforms, payments, brokerage, or forex industries is preferred
2. Core Competencies
• Strong process mapping skills: ability to structure and standardize complex Customer Service workflows
• Product mindset: ability to translate operational/business problems into product requirements
• Strong communication and stakeholder management skills: able to effectively collaborate with Customer Service, product, and technical teams
• Project execution skills: experience in driving projects end-to-end from requirements to launch
• Data analysis skills: able to evaluate optimization outcomes through data
3. Technical/Professional Skills (Preferred)
• Experience in process automation, rule engines, or risk control systems
• Familiarity with PRD writing, Axure/Figma, or workflow diagram tools
• Basic SQL or data analysis skills are a plus
4. Personal Attributes
• Results-oriented with strong execution ability
• Logical, detail-oriented, and meticulous

What we can offer you:

• Life Insurances
• Team Building

• Perform all tasks assigned by the immediate superior in accordance to the specifications and schedule.
• Plan and organize use of resources effectively to meet OEE, productivity, internal failure cost target.
• Work with all levels of the organization to improve quality levels, providing customer with “Zero Defect Product” and “100% On-Time Delivery”.
• To translate the company’s objective into department goals and ensure the goals are cascaded to Production line leader and operator levels.
• Create an environment that is culturally embedded in a “Quality First” mentality.
• To maintain records for all downtime and to clinically analyze the lost opportunity for improvement.
• To initiate project, evaluation and study for capacity and quality improvement.
• To follow up and summarize the entire pilot builds failure into “OPEN POINT LIST”.
• Instill a continuous improvement mentality to production line leader and operator level.
• Establish performance indicators and evaluate production line leader and operator level.
• To Lead “CIP” production daily management meeting.
• To liaise with TEF group for improvement.
• To perform the production line process confirmation.
• To provide support and guidance to line leaders, technicians and operators on their daily tasks.
• To ensure production line leaders, technicians and operators follow quality control procedure and all the BPS activities and procedures.
• Review line leaders, technicians and operators performance on quarterly basic and provide Guidance to improve his/her performance.
• Coordinate and follow up various departments to ensure smooth execution day to day activities.
• Responsible for year end physical inventory count.
• Enforce safety and 5’S activity assigned by superior.
• To evaluated and prepared year end GPD for subordinates.
• Any other duties assigned by the immediate superior from time to time.

We are seeking a Product Operations Specialist to ensure the reliability, performance, and continuous improvement of digital products by working closely with Product, Engineering, and Operations teams.

Responsibilities

• Plan, coordinate, and manage production releases, including preparing release plans, securing approvals, and ensuring smooth deployments with proper rollback and escalation procedures
• Monitor and manage day-to-day system operations, ensuring system stability, performance, and adherence to defined SLAs
• Triage, investigate, and resolve production incidents in collaboration with cross-functional teams, providing timely updates to stakeholders
• Develop, implement, and continuously improve operational processes, workflows, and best practices to enhance efficiency and system reliability
• Analyse system performance metrics and operational data to identify trends, root causes, and opportunities for optimisation
• Conduct post-incident reviews and root cause analysis, and drive preventive measures to reduce recurring issues and improve overall system resilience
• Support production troubleshooting through data querying, log analysis, and system investigation

Requirements

• 3–6 years of experience in Product Operations, Technical Operations, Service Delivery, or a related role within a technology environment
• Proven experience in production support, incident management, and release coordination in SLA-driven environments
• Familiarity with software development lifecycle (SDLC), deployment processes, and working in Agile or DevOps environments
• Basic proficiency in data querying (e.g., SQL) and ability to analyse system logs and performance data
• Hands-on experience with tools such as Jira, Zendesk, ServiceNow, or equivalent ticketing and workflow management systems
• Strong problem-solving, analytical, and organisational skills, with the ability to manage multiple priorities in a fast-paced environment
• Excellent communication and stakeholder management skills, with the ability to collaborate effectively across technical and non-technical teams
• Proactive mindset with a focus on continuous improvement and operational excellence

Our client, a well-established asset management firm is seeking for a Product Operations Specialist to support the end-to-end lifecycle of investment products and fund offerings, ensuring efficient product setup, smooth operational execution, and ongoing governance.

Key Responsibilities

• Oversee the end-to-end product lifecycle of investment funds, from structuring and launch to ongoing maintenance and eventual closure
• Coordinate new fund launches, including VCC structures, offshore funds, and managed accounts, working closely with investment, legal, compliance, and service providers
• Manage product onboarding processes, ensuring accurate setup across internal systems, platforms, and external distributors
• Maintain and update fund documentation, including prospectuses, fact sheets, term sheets, and regulatory filings
• Work closely with portfolio managers and investment teams to ensure fund strategies are accurately reflected in operational workflows
• Ensure ongoing compliance with fund mandates, investment guidelines, and regulatory requirements (e.g., MAS)
• Monitor product performance reporting workflows, ensuring timely and accurate delivery of NAV, factsheets, and investor reporting
• Liaise with fund administrators, custodians, auditors, and transfer agents to ensure smooth operational execution
• Support product governance processes, including periodic reviews, change management, and product rationalisation
• Drive process improvements and automation across product operations to improve efficiency and scalability
• Resolve operational issues and trade/product discrepancies, escalating where necessary
• Support distribution teams with product-related queries and onboarding of institutional/intermediary clients

Requirements

• Bachelor’s degree in Finance, Business, Economics, or related discipline
• Minimum 3–5 years of experience in product operations, fund operations, or investment operations within asset management or fund management firms
• Knowledge of end-to-end fund lifecycle and operational processes
• Familiarity with trade lifecycle, NAV processes, and fund accounting concepts

Interested candidates kindly forward your CV to ethelsk.tan@peoplesearch.jobs (Ethel Tan Seok Khoon, Reg No: R2096281). Feel free to forward this great opportunity to someone who would be a great fit for this role.

All information will be kept strictly confidential. We regret to inform that only successful applicants will be contacted.

PeopleSearch Pte Ltd

EA License No: 16S8057

We are looking for an experienced Product Operations Manager to support the operations, maintenance, and continuous improvement of enterprise digital and analytics platforms. This role will serve as a bridge between business stakeholders, vendors, and technical teams, ensuring systems reliability, smooth product operations, and successful delivery of enhancements and transition initiatives.

• Working Hours: Mon-Fri
• Working Location: Central
• Salary Package: Up to $7,000 (basic) x 12 months
• Job Type: Contract (1 year)

Key Responsibilities

System Operations & Support

• Ensure availability, stability, and performance of digital systems and platforms.
• Monitor incidents, coordinate issue resolution, and manage system maintenance activities.
• Oversee system changes through governance and approval processes, including documentation and stakeholder sign-off.
• Coordinate scheduled maintenance and communicate system updates to users.

Product Operations & Requirements Management

• Gather, analyse, and document business and user requirements.
• Translate stakeholder needs into actionable product requirements and enhancement plans.
• Facilitate workshops, user discussions, and alignment sessions with cross-functional teams.
• Support roadmap planning and continuous improvement initiatives for digital platforms.

Dashboard & Data Product Governance

• Manage dashboard refresh cycles, content updates, and approvals.
• Maintain documentation for changes, governance processes, and audit trails.
• Partner with business teams to ensure reporting and analytics products meet evolving needs.

System Transition & Change Initiatives

• Support system migration, archival, and decommissioning activities.
• Coordinate transition plans to ensure business continuity and preservation of critical data.
• Develop documentation, knowledge transfer materials, and transition artefacts.

Vendor & Stakeholder Management

• Manage vendor relationships and monitor service delivery against agreed performance standards.
• Review system performance reports and identify opportunities for optimisation.
• Serve as a key point of contact for system-related issues, escalations, and stakeholder communications.
• Provide regular updates on operational performance, risks, and planned changes.

Requirements

• 3–5 years of experience in product operations, systems operations, business analysis, or digital platform management.
• Experience gathering requirements and working with cross-functional stakeholders.
• Strong understanding of system support, change management, and operational governance.
• Experience with dashboards, analytics platforms, or data-driven systems.
• Exposure to system migration, data archival, or decommissioning projects is advantageous.
• Strong vendor management, stakeholder engagement, and communication skills.
• Ability to translate technical concepts into business-friendly recommendations.

Preferred Skills

• Familiarity with data visualisation and data processing tools.
• Knowledge of ITIL, Agile delivery, or change management practices.
• Understanding of data governance and compliance principles.
• Experience in user journey mapping, system consolidation, or digital transformation initiatives.

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy(scientecconsulting.com/privacy-policy).

This authorizes us to:

• Contact you about potential opportunities.
• Delete personal data as it is not required at this application stage.

All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Elane Yap Theng Yu- R1989397

ScienTec Consulting Pte Ltd - 11C5781

Join a global technology MNC with a strong presence in digital mapping and location-based services. This role sits at the intersection of product, engineering, and enterprise partnerships, supporting the delivery of B2B product solutions.

Key Responsibilities

• Drive the delivery of B2B product features by working closely with engineering, product, and business stakeholders

• Leverage generative AI tools to develop technical documentation, product assets, and demonstration materials

• Manage partner onboarding processes, including data collection workflows and integration support

• Track project milestones, identify risks, and ensure timely execution of product deliverables

• Gather and synthesize partner feedback into structured insights to support product roadmap decisions

• Support product launches through preparation of documentation and coordination with go-to-market teams

Requirements

• 1–3 years of experience in Product Management, Product Operations, Technical Program Management, Business Analysis, or related roles

• Familiarity with APIs, technical documentation, or data workflows

• Experience using AI tools (e.g. ChatGPT, Claude) to produce business or technical content

• Strong organisational skills with the ability to work in a fast-paced, collaborative environment
  

For candidates who do not wish to apply via the site and would still like to apply in a P&C manner, please send in your resume to apply97[ADD]talentvis.com

EA License: 04C3537 | Talentvis Singapore
EA Personnel: R26160646 | Adrian Tan

Role Summary 

The Manufacturing Technician supports day-to-day manufacturing operations to ensure safe, stable, and efficient production execution in a high-volume manufacturing environment. This role focuses on executing production plans, monitoring process performance, supporting equipment and material readiness, and escalating issues that impact safety, quality, delivery and cost. 

Working closely with Manufacturing Engineers, Process Engineers, and cross-functional partners, the Manufacturing Technician plays a critical role in achieving production targets, maintaining operational discipline, and driving continuous improvement at the shop-floor level. 

Key Responsibilities 

1) Safety & Quality Compliance 

• Adhere strictly to safety policies, quality systems, and cleanroom protocols. 

• Perform work area inspections and follow safe work practices to maintain a safe working environment. 

• Ensure products are handled, processed, and documented in compliance with quality and 6S requirements. 

• Support containment actions and follow-up activities when deviations are identified. 

2) Production Execution & Operations Support 

• Execute daily production activities according to established production plans, work instructions, and standard operating procedures. 

• Monitor production flow, cycle time, and work-in-progress (WIP) to support on-time delivery (OTD) and output targets. 

• Perform routine checks to ensure materials, tools, and equipment are ready for production use. 

• Identify and escalate production issues (e.g., delays, abnormal trends, bottlenecks) to engineers or shift leads in a timely manner. 

• Operate multiple machines in a highly automated cleanroom environment to meet shift targets. 

3) Equipment & Process Monitoring 

• Support basic equipment operations, changeovers, and checks in accordance with defined procedures. 

• Monitor process parameters and equipment status to ensure stable manufacturing conditions. 

• Assist in troubleshooting minor process or equipment issues and support engineers during deeper investigations. 

• Record and report abnormalities, deviations, and observations accurately to ensure traceability. 

4) Continuous Improvement & Team Support 

• Participate in continuous improvement initiatives to enhance productivity, cycle time, quality, and operational efficiency. 

• Provide feedback and ideas to improve processes, workflows, and SOP. 

• Support data collection and basic analysis activities to assist engineers in performance tracking and improvement projects. 

• Foster a collaborative and disciplined team environment across shifts. 

Requirements: 

• Higher Nitec / Diploma in Engineering or Applied Sciences (Mechanical, Electrical, Electronics, Chemical, Materials, or related disciplines). 

• Able to work 12-hour shifts, including night shifts. 

• Basic familiarity and understanding of manufacturing processes and high volume manufacturing or production environments. 

• Ability to follow structured work instructions and procedures. 

• Ability to use computer-based systems and applications to perform daily tasking, data entry and reporting. 

• Willingness to learn manufacturing systems, tools, and equipment. 

• Clear verbal and written communication skills (in English) for reporting issues and handovers. 

• Attention to detail and commitment to safety and quality standards. 

• Prior experience in semiconductor manufacturing or high-volume production environments is preferred. 
  

  Performs current Production Operator responsibilities and duties within a Fab organization as well as outlined technical tasks. Technical tasks will vary from area to area and may include monitoring and responding to SPC charts, responding to failed tool quals, processing engineering targets, SWRs and other tests, monitoring and collecting data, dispositioning lots, troubleshooting tool errors and recovery and other similar responsibilities.

Join our outstanding team at Micron as a Product Quality Assurance (PQA) Technician in Singapore and contribute to our world-class engineering efforts! This role offers an exceptional chance to collaborate closely with local and global collaborators and drive quality excellence in our products. 

Responsibilities and Tasks:

• Assist PQA engineer in managing quality deviation and drive for closure of corrective/preventive actions to drive for deviation reduction and continual improvement.

• Conduct inline assessment and validate corrective and preventive actions to drive inline and outgoing control to meet customers’ quality requirement.

• Monitor and keep track corrective action, prevention action and lesson learn fanout status.

• Use automation tool (Power BI, Power Apps, Tableau etc) to develop and enhance dashboards for quality metrics. 

• Establish standard operating procedure for quality related monitoring.  

• Perform Data Mining to identify quality improvement opportunities and assist PQA engineer in leading site quality improvement projects

Requirements: 

• Nitec/Higher Nitec/Diploma in Engineering or a related field.

• Able to work on 12 hours rotating shift (including night shift).

• Proven experience in quality control within an engineering environment.

• Ability to troubleshoot and resolve equipment issues.

• Excellent documentation and procedural development skills.

• Strong collaborative skills to work with diverse teams.

• Ambitious and diligent approach to uphold high standards of material quality.

• Ability to determine and successfully implement quality control protocols.

• Knowledge and experience in Artificial Intelligence applications is a plus

• Embody Micron’s core values:

• People – Respect, develop, and empower others

• Innovation – Drive continuous improvement and breakthrough thinking

• Tenacity – Show grit and determination

• Collaboration – Build trust and foster teamwork

• Customer Focus – Deliver excellence and value 
  
• Assists engineers in testing and inspecting products at various stages of the production process and compiles and evaluates statistical data to determine and maintain quality and reliability of products. Implements methods and procedures for inspecting, testing, and evaluating products, processes and/or production equipment. Report such data to management and production engineering so problematic areas may be addressed.

As an Assembly Scheduler at MSB/MSH, your key responsibility is to ensure wafer loadings are scheduled promptly to meet production goals. You will support Product Planners in establishing and maintaining production plans, managing scheduling activities, and assisting with line management to ensure production targets are achieved.

Key Responsibilities & Tasks

Production Planning Support

• Assist in establishing and maintaining production plans.

• Support Planners in analyzing and generating production plans.

• Assist in developing plans to fulfil demand signals.

• Support shipment planning to Assembly Subcontractors in coordination with Subcontractor Planners.

Production Scheduling & Control

• Review wafer bank inventory and track in‑transit wafer shipments; initiate priority shipments when required.

• Identify and schedule wafer starts to meet production requirements, including wafer sales.

• Schedule wafers for shipment to Assembly Subcontractors.

• Perform small‑quantity lot merging based on Product Engineering merging criteria prior to releasing lots to the production floor.

• Support engineering builds based on requirements such as hot lots, qualifications, evaluations, and samples.

Line Management Support

• Update production plans to support manufacturing and equipment teams in meeting production goals.

• Track and monitor WIP movement and production output to ensure targets are met.

• Expedite material movement and load additional lots when required.

• Assist Planners in tracking production plan misses and backfilling into subsequent weekly plans as needed.

Requirements

• Higher Nitec/Diploma in Engineering or relevant.

• Proficient in MS Excel and PowerPoint.

• Good interpersonal and communication skills.

• Ability to work independently.

• Able to work on 12 hours shift (including night shift)
  

  Plans, schedules, coordinates, and/or monitors final approval of products through the complete production cycle. Works from engineering plans and production specifications to establish production schedules, labor loading, and capacity requirements. Coordinates production plans to ensure materials are provided according to schedules.

This role supports Open Content Product Operations by delivering high-quality analysis, reporting, and performance visibility against clearly defined requirements. You will work with large, varied datasets to produce robust, trusted outputs that inform operational and product decision-making. 

A core focus of the role is working with Open Content data — data spanning multiple sources, formats, markets, and use cases — and applying strong technical skills and data judgement to select appropriate data, ensure quality, and build reliable reporting, primarily using Power BI. 

The role also contributes to improving efficiency by reducing manual reporting and data preparation, through a combination of building automation directly where possible and working with technology or data engineering teams to implement more scalable solutions.

Key Tasks / Responsibilities:

• Deliver analysis, metrics, and reporting against clearly defined output requirements, working closely with Product Operations and Product Management 

• Identify, extract, clean, and structure data from available sources to create accurate, consistent datasets 

• Build, maintain, and enhance Power BI dashboards and reports, including data models, measures, and recurring reporting outputs 

• Create and maintain trusted business metrics and KPIs, ensuring clear definitions, documentation, and transparency around assumptions or limitations 

• Analyse open content data to support coverage measurement, performance tracking, and operational insights 

• Identify manual, repetitive, or inefficient reporting and data processes and drive improvements through automation, including building automation directly and working with data, platform, or engineering teams to raise tickets and support the creation of APIs, feeds, or data pipelines 

• Collaborate with cross‑functional stakeholders (e.g. Product, Operations, Finance, Technology) to gather inputs, align definitions, and ensure reporting accuracy 

• Produce clear supporting documentation and summaries to enable effective understanding and reuse of data and reports 

• Adhere to data governance, privacy, and quality standards