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Thermo Fisher ScientificPosted 1 month ago

Manufacturing Engineer

On-siteSingapore, Singapore

Full TimeBachelors DegreeLarge

Job Summary

Own and support products and manufacturing processes throughout the product lifecycle, ensuring compliance with ISO, regulatory, and quality management system requirements. Support New Product Introduction (NPI) and product transfers from R&D and global manufacturing sites by planning, coordinating, and executing smooth transitions into production. Perform second-level product failure analysis, drive corrective and preventive actions, and implement value engineering initiatives to improve quality and reduce costs. Create and maintain Bills of Materials, engineering drawings, and product structures in SAP, while managing engineering changes through OCPLM. Lead or support digitalization, Industry 4.0, and automation initiatives to enhance operational efficiency and traceability.

Required Qualifications

  • Bachelor's Degree in Electrical Engineering, Manufacturing Engineering, or a related engineering discipline
  • Minimum 3 years of engineering experience in a manufacturing environment
  • Experience supporting NPI, product transfer, sustaining engineering, and engineering change management
  • Good understanding of engineering change management processes, including OCPLM CR/CO workflow and SAP BOM management
  • Strong analytical, problem-solving, and continuous improvement mindset
  • Excellent communication and interpersonal skills with the ability to collaborate across multidisciplinary and global teams

Desired Qualifications

  • Experience supporting NPI, product transfer, sustaining engineering, and engineering change management is preferred
  • Experience participating in digital transformation, manufacturing automation, or Industry 4.0 initiatives will be an advantage
  • Experience with manufacturing digitalization, automation technologies, or low-code automation platforms (e.g., Microsoft Power Automate, Power Apps, or similar) is highly desirable
  • Familiarity with AI-assisted engineering tools (e.g., Microsoft Copilot, ChatGPT, or equivalent) to improve engineering productivity, document review, technical analysis, reporting, or process automation is an advantage

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