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Digital Twin / Simulation Engineer - Semiconductor
Software & AI Engineering
Singapore
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.
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.
Job Requirements
•Education: Master’s or Ph.D. in Mechanical Engineering, Mechatronics, Systems Simulation, Computational Physics, or related discipline.
• Experience: 3+ years of experience building digital twins, multi-physics simulations, or Hardware-in-the-Loop (HIL) environments for precision robotics, aerospace, automotive, or semiconductor equipment.
• Simulation Tools: Expertise in numerical modeling tools such as MATLAB/Simulink, Ansys, COMSOL, or physics engines (e.g., Gazebo, NVIDIA Omniverse, Isaac Sim).
• Software Development: Proficiency in C++ and Python for integrating simulation pipelines with software control stacks and real-time data pipelines.
• Physics & Modeling: Deep understanding of rigid body dynamics, elasticity, thermo-mechanical deformation, and fluid dynamics.
Preferred Qualities
• Experience with semiconductor equipment or process modelling.
• Startup-ready mindset: energetic, capable of modeling complex systems with minimal existing documentation, and driven by iterative progress.
• Experience: 3+ years of experience building digital twins, multi-physics simulations, or Hardware-in-the-Loop (HIL) environments for precision robotics, aerospace, automotive, or semiconductor equipment.
• Simulation Tools: Expertise in numerical modeling tools such as MATLAB/Simulink, Ansys, COMSOL, or physics engines (e.g., Gazebo, NVIDIA Omniverse, Isaac Sim).
• Software Development: Proficiency in C++ and Python for integrating simulation pipelines with software control stacks and real-time data pipelines.
• Physics & Modeling: Deep understanding of rigid body dynamics, elasticity, thermo-mechanical deformation, and fluid dynamics.
Preferred Qualities
• Experience with semiconductor equipment or process modelling.
• Startup-ready mindset: energetic, capable of modeling complex systems with minimal existing documentation, and driven by iterative progress.
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