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Factory Test Engineer

Ecolab

TWN - Taipei - TaipeiMidH-1B sponsor company
Sign in to applyVerified 2h ago
Location
TWN - Taipei - Taipei
Work model
On-Site
Level
Mid
H-1B history
1 approvals (FY2023)
Posted
Sep 8, 2026

Skills

GenAIOpenCVPython

About this role

ABOUT COOLIT, AN ECOLAB COMPANY Founded in Calgary, Alberta in 2001, CoolIT is the leading Direct Liquid Cooling technology provider for data centers, supercomputers, and desktop computers. We design and manufacture solutions used by the largest tech companies globally.  Recognized as one of “The Americas’ Fastest Growing Companies 2023” by Financial Times and honored with the Deloitte Fast 50 Clean Technology award in 2022, as well as the Deloitte Fast 500 distinction in both 2021 and 2022, CoolIT's rapid growth is capturing global attention.  As demand for generative AI, high performance computing and cloud solutions rapidly expands, there has never been a more exciting time to join our team.  WHAT YOU’LL DO:

Role

The role of a Factory Test Engineer at CoolIT focuses on factory test automation excellence for liquid cooling solutions through the development and deployment of automated factory testing systems.  This position requires strong experience in industrial automation, controls systems, software development (Python), and machine vision, along with a solid foundation in electrical and electromechanical systems. He or she is responsible for designing, implementing, and improving automated test systems, and enabling data-driven quality decisions. This role collaborates closely with factory test specialists, manufacturing, quality, and engineering teams to ensure robust and scalable test solutions. Safety and Compliance :   Adhere to all safety guidelines and protocols to create a safe working environment.   Always wear appropriate personal protective equipment (PPE), such as gloves, safety glasses, and hearing protection, as required.   Actively participate in safety training sessions and promptly report any safety concerns or hazards.   Comply with industry regulations and company policies to ensure proper handling of electro-mechanical components and systems.     Quality :   Defining and driving factory test equipment and tools based on the requirements stemming from New Product Introduction (NPI) projects    Working closely with factory test specialists to automate existing software and hardware test tools   Integrate factory test equipment with CoolIT MES system   Designing manufacturing test equipment   Design and develop automated in-process and end-of-line (EOL) test systems for liquid cooling products    Develop and maintain Python-based test automation tools, including data acquisition, control, and reporting    Integrate and program PLC-based control systems for factory test stations (e.g., Allen-Bradley, Siemens)    Implement and support industrial communication protocols (Modbus RTU/TCP, Ethernet/IP, OPC-UA)    Develop and deploy machine vision systems for automated inspection and validation (e.g., OpenCV-based solutions)    Design and develop test fixtures, electrical interfaces, and control panels for manufacturing test equipment    Capture, analyze, and process test data to enable automated pass/fail decisions using statistical methods (SPC, Cp/Cpk, ±3σ)     Basic Qualifications:   Bachelor’s degree in Electrical Engineering, Mechatronics Engineering, Mechanical Engineering, or a related technical field   Minimum of 3 years of experience in:   f actory automation or i ndustrial testing or manufacturing environments or a cademic courses in the field of testing, controls, signal conditioning or related course work       Preferred Qualifications: Ability to manage multiple priorities in a fast-paced engineering/manufacturing environment   Strong collaboration and problem-solving abilities with a proactive approach.   Strong proficiency in Python programming for automation, data processing, and system integration    Experience with PLC programming (Ladder Logic, Structured Text)    Experience with industrial communication protocols (Modbus, Ethernet/IP, OPC-UA)    Experience with image processing / machine vision (e.g.,

Listing verified 2h ago. Applications go through the company's official careers site.

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