Validation Manager

Job Vacancy

Validation Manager

Job Highlights:

  • We are expanding! A great opportunity to be part of the dynamic and fast-growing team.
  • Excellent opportunities for career advancement.
  • One of the global leaders in cleanroom automation.


Roles and Responsibilities:

  • Lead the design, development, and implementation of technical solutions for complex projects.
  • Analyze and interpret data and information, perform continuous integration, monitor the operation of complete automation systems.
  • Perform troubleshooting of automation systems if necessary.
  • Build and innovate automation and testing frameworks
  • Devise testing and validation workflows to ensure that product meets company requirements
  • Improve the efficiency of current testing procedures
  • Manage and maintain the documentation of testing procedure and results to ensure traceability
  • Participate in software validation, debugging and work with cross functional teams especially in project planning and scheduling to meet project requirements
  • Provide technical leadership and direction to a sizable team of engineers. Must be able to recognise the technical expert (go to person) on more technical area
  • To review and interpret customer requirements/specifications and act as primary customer contact.




    • Degree in Electrical Engineering, Electronic Engineering, Mechanical Engineering, Mechatronics or equivalent.
    • Have worked in at least 3 or more multi-disciplinary projects.
    • Knowledge of statistics is desirable.
    • Possess 7 to 10 years of related experience reliability testing and design analysis.



  • Possess a wide breadth of knowledge across multiple engineering fields (mechanical, electrical, electronics and software).
  • Attention to detail and have a no-compromise approach to testing and documentation.
  • Have the capability to identify problems, troubleshoot (simple) issues, and convey technical issues to engineers.
  • Assertive and capable of making arguments based on test data