The posting
About the role
Join the Singapore operation center as a Manufacturing Engineer leading cross-process manufacturing engineering activities for complex products and production lines. You will develop, validate, optimise, and sustain manufacturing processes to deliver stable quality, yield, capacity, cost, delivery, safety, and manufacturability outcomes. The role works closely with Production, Quality, Equipment, R&D, Supply Chain, and other stakeholders while driving technical improvements and building stronger manufacturing capabilities.
Key responsibilities
- Own manufacturing engineering outcomes for assigned complex products, processes, or production lines from process design and validation through qualification, release, ramp-up, and sustaining support.
- Lead cross-process and cross-functional technical projects, coordinating milestones, resources, interfaces, risks, and delivery of verified manufacturing results.
- Develop, optimise, and standardise process flows, parameters, tooling, fixtures, equipment interfaces, work instructions, control plans, and manufacturing specifications.
- Lead structured problem-solving for complex and recurring manufacturing issues using 8D, root cause analysis, 5 Why, DOE, SPC, MSA, capability analysis, and other appropriate statistical methods.
- Resolve systemic quality issues, implement corrective and preventive actions, and confirm long-term effectiveness through trend data.
- Improve FPY, yield, defect rate, OEE, takt time, capacity, cycle time, changeover, manufacturing cost, and delivery performance through process optimisation, automation, equipment improvement, and Lean or KAIZEN activities.
- Establish and maintain process controls and prevention mechanisms, including PFMEA, control plans, Poka-Yoke, SPC monitoring, process capability requirements, reaction plans, and change controls.
- Support new product introduction, engineering builds, process and equipment qualification, product transfer, production ramp-up, and release to mass production.
- Analyse manufacturing data, identify trends and capability gaps, and improve digital and visual management methods for timely decision-making.
- Identify manufacturing safety risks and implement appropriate safety measures, standards, and preventive controls in line with EHS and cleanroom requirements.
- Translate customer and stakeholder requirements for quality, cost, delivery, and manufacturing capability into measurable process and improvement objectives.
- Create and maintain engineering documentation, including SOPs, work instructions, OPLs, process specifications, validation reports, troubleshooting guides, lessons learned, and best practices.
- Provide technical guidance to engineers and technicians and support structured knowledge transfer through project work, technical reviews, and standardised training materials.
- Communicate technical status, evidence, risks, options, and recommendations clearly while aligning stakeholders on actions and closure.
- Identify opportunities in advanced manufacturing, automation, digitalisation, quality improvement, and process technology, and convert suitable opportunities into validated business improvements.
- Ensure engineering activities comply with applicable quality management systems, EHS requirements, cleanroom protocols, ESD controls, data integrity requirements, and company standards.
What we're looking for
- Bachelor's degree or above in Manufacturing Engineering, Mechanical Engineering, Mechatronics, Electrical or Electronic Engineering, Materials Science, Industrial Engineering, Optics, or a related engineering discipline.
- Demonstrated experience leading manufacturing engineering work for complex products, key processes, or production lines in a high-tech manufacturing environment.
- Experience in optics, semiconductor, MEMS, microelectronics, precision manufacturing, or other controlled manufacturing industries is preferred.
- Strong knowledge of manufacturing process development, validation, qualification, control, industrialisation, ramp-up, and sustaining engineering.
- Proficiency in structured problem-solving and quality tools, including 8D, RCA, 5 Why, fishbone analysis, DOE, SPC, MSA, process capability analysis, PFMEA, control plans, CAPA, and Poka-Yoke.
- Ability to analyse and improve FPY, yield, defect rate, OEE, takt time, cycle time, capacity, changeover performance, manufacturing cost, and delivery performance using baseline and trend data.
- Ability to develop and control process specifications, SOPs, work instructions, validation protocols and reports, OPLs, troubleshooting guides, and reusable technical standards.
- Good understanding of equipment, tooling, fixtures, automation interfaces, process parameters, manufacturing data, and upstream and downstream process interactions.
- Ability to lead improvement projects, manage milestones, resources, dependencies, technical risks, and verification of benefits.
- Strong data analysis, technical reporting, cross-functional communication, stakeholder alignment, and evidence-based decision-making skills.
- Proficiency with relevant statistical and engineering software such as Minitab or equivalent tools is preferred.
- Familiarity with applicable quality management systems and manufacturing standards; IATF 16949 internal auditor knowledge or certification is an advantage where relevant.
- Strong ownership, system-level thinking, sound technical judgement, customer focus, teamwork, accountability, attention to detail, and a continuous-improvement mindset.
