Applications Engineer (RF Power / VHDL / Semiconductor) - #1165423

Morgan McKinley


Date: 5 hours ago
District: Singapore
Contract type: Full time
Work schedule: Full day
Morgan McKinley

The Company

Our Client is a global leader in designing and manufacturing highly engineered, precision power conversion and control systems. For over 40 years, their cutting-edge technologies have powered mission-critical semiconductor manufacturing tools worldwide. They provide deep technical application engineering and support to major semiconductor chipmakers across the region.

Key Responsibilities:

  • Connect, operate, and troubleshoot high-power, high-voltage electrical equipment across lab environments and cleanrooms.
  • Drive measurement, data acquisition, and statistical process analysis (SPC) using digital tools like Python, MATLAB, or LabVIEW to derive clear physical performance conclusions.
  • Utilize VHDL environments to customize or update embedded logic configurations within RF generators and matching networks, adapting power parameters to highly volatile plasma conditions.
  • Work closely with local and international sales, marketing, and product development units to provide consultative support and map complex customer requirements into design wins.
  • Travel locally and internationally (~10-15%) to diagnose complex site integration issues and safely handle high-energy electrical components directly at client manufacturing plants.

Job Requirements

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Semiconductor Engineering, or Applied Physics.
  • Possess functional knowledge of VHDL for hardware description logic programming.
  • Minimum 1 to 2 years of hands-on technical experience within a semiconductor manufacturing or high-power electronics test environment.
  • Practical experience utilizing electrical test instrumentation, including digital oscilloscopes, DVMs, LCR meters, and vacuum equipment components (pumps, valves, pressure gauges).
  • Foundational knowledge of Data Analysis techniques including Statistical Process Control (SPC), data trending, and Design of Experiments (DOE).

Morgan McKinley Pte Ltd

Kailey Lee

EA Licence No: 11C5502

EA Registration No: R26161550

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