Smart Manufacturing Systems Engineer

LITEON Careers - U.S.

Plano (TX)

On-site

USD 110,000 - 150,000

Full time

4 days ago
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Job summary

LITEON Careers - U.S. is seeking an engineer to design and implement Digital Twin platforms for smart factories in Plano, TX. You will develop high‑fidelity 3D virtual production lines for SMT and assembly and integrate real‑time shop-floor data.

You will simulate processes with DES and AI, optimize layouts, and apply reinforcement learning to improve AGV paths and scheduling. Collaboration with IE, automation, and IT teams is essential to validate results and deploy to production.

Responsibilities

  • Design and implement Digital Twin platforms for smart factories, delivering high‑fidelity 3D virtual production lines for SMT and assembly.
  • Simulate and optimize processes using DES and AI to analyze bottlenecks, optimize line layouts, and run what‑if analyses.
  • Develop and integrate AI models using virtual environments and synthetic data for computer vision, and apply reinforcement learning to optimize AGV paths or scheduling.
  • Integrate real‑time shop‑floor data from MES and IoT platforms via APIs to map production lines to digital twins.
  • Operate and maintain MES and related platforms, ensuring data accuracy, availability, and timely production support.
  • Collaborate with IE, automation, and IT teams to validate results, maintain platforms, and support deployment into production.

Job description

  • 1.Design and implement Digital Twin platforms for smart factory environments, developing high‑fidelity 3D virtual production lines for SMT and assembly processes.
  • 2.Perform process simulation and optimization by applying discrete event simulation (DES) and AI techniques to analyze capacity bottlenecks, optimize line layouts, and conduct what‑if scenario analysis.
  • 3.Develop and integrate AI models using virtual environments and synthetic data for computer vision applications, and apply reinforcement learning to optimize AGV paths, robotic operations, or production scheduling.
  • 4.Integrate real‑time shop‑floor data from MES and IoT platforms via APIs or messaging mechanisms to enable real‑time mapping between physical production lines and digital twin systems.
  • 5.Operate and maintain MES and related digital manufacturing platforms, ensuring system stability, data accuracy, availability, and timely support for production operations.
  • 6.Collaborate with cross‑functional teams, including IE engineers, automation engineers, and IT teams, to validate simulation results, maintain digital platforms, and support deployment into actual production processes.
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