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Tesla Virtual Commissioning Engineer Cell Manufacturing United States, Texas, Austin 904639970
10.04.2025
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What You’ll Do What You’ll Bring
- Learn usage of various manufacturing 2D and 3D CAD tools and formats
- Develop 2D or 3D simulation environments for manufacturing processes involving robots, conveyors, gantries, cranes, winders, B&R, etc.
- Integrate simulation model with software-in-loop, model-in-loop, or hardware-in-loop architectures
- Develop virtual commissioning libraries emulating equipment (Schneider, B&R, Beckhoff, Siemens, SEW, Balluff, SICK, Keyence, etc.) based on EPlan, equipment specifications and PLC communication protocols
- Debug structure text and ladder logic code on multiple PLC controller platforms (B&R Automation Studio, Beckhoff TwinCAT and Siemens TIA Portal)
- Validate PLC, HMI, robot software, and Tesla MES systems in a virtual commissioning environment
- Evaluate new virtual commissioning and digital twin technologies
- Develop tools in software programming languages to make the simulation development and review process efficient
- Review virtual commissioning data with equipment integrators or internal teams and confirm the conformance to Tesla standards and manufacturing process
- Write technical documentation detailing the virtual commissioning processes and enhance Tesla’s Virtual Commissioning standards
- Bachelor's Degree in Mechatronics, Automation Engineering or equivalent experience
- Experience with tools for virtual commissioning (iPhsyics, Process Simulate, WinMOD, MapleSim, Emulate3D, EKS, etc.) is preferred
- Experience with commissioning Beckhoff, Siemens PLCs is preferred
- Experience with using TwinCAT XAR, TIA PORTAL, and PLCSIM Advanced is preferred
- Programming experience with computer programming languages, such as, C#, C++, Python
- Experience with 3D CAD design software such as CATIA or SOLIDWORKS is preferred
- Understanding of network protocols (ETHERCAT, ETHERNET I/P, PROFINET, OPC UA) is preferred
- Experience working in a manufacturing environment (automotive, packaging, battery manufacturing, etc.) is preferred
- Quick comprehension and analytical skills
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