Digital Twin / Simulation Engineer - Semiconductor

Galatek; Singapore; Hybrid; SGD 90,000 - 130,000; Full time

Job summary

Galatek is seeking a Digital Twin / Simulation Engineer to lead full-system virtual equipment modeling for our AI platform. You will craft high-fidelity digital twins of semiconductor tools and simulate thermal, kinematic, gas-flow, and optical interactions to enable virtual testing before wafer deployment.

You will collaborate with mechanical, mechatronics, process, and software teams to translate physics into accurate computational models and validate them against real sensor streams for

Qualifications

• Bachelor’s degree in mechanical/electrical/mechatronics engineering or related field.
• Experience building digital twins or physics-based simulations.
• Strong Python/MATLAB programming and data analysis skills.

Responsibilities

• Build high-fidelity digital twins of semiconductor equipment.
• Model multi-physics interactions including thermal, kinematic and optics.
• Integrate models with real-time control software for HIL validation.
• Calibrate models using real sensor data from tools.
• Collaborate with mechanics, mechatronics, process and software teams.

Skills

Digital twin

Multi-physics modeling

Kinematics

Thermal analysis

Python

MATLAB/Simulink

AI integration

Education

Bachelor's degree in Mechanical Engineering

Electrical/Mechatronics background

Tools

MATLAB/Simulink

COMSOL Multiphysics

Python

LabVIEW

Job description

Software & AI Engineering

Job Description

We are looking for a Digital Twin / Simulation Engineer to lead the creation of full-system virtual equipment models for our AI platform. In this role, you will build high-fidelity digital twins of our semiconductor equipment—simulating multi-physics interactions (thermal expansion, kinematic dynamics, gas flow, and vision optics)—allowing our customers to model, test, and validate new algorithms and processes virtually before deploying them onto production wafers.

Key Responsibilities

• Digital Twin Development: Architect and deploy dynamic, physics-based digital twins of our semiconductor equipment, modeling multi-axis kinematics, force control, thermal dissipation, and optical paths.
• Virtual Recipe Validation: Enable virtual parameter and algorithm generation and testing environments to model structural and thermal behavior.
• Hardware-in-the-Loop (HIL) Testing: Integrate simulation models with real-time equipment control software and AI feedback loops for pre-hardware validation and rapid algorithm benchmarking.
• Model Calibration: Continuous validation and refining of simulation models against real physical sensor streams from operational tools to maintain high simulation fidelity.
• Cross-Functional Collaboration: Work closely with mechanical, mechatronics, process, and software engineers to translate physical system dynamics into accurate computational models.