Robotic Process Simulation Engineer — Digital Twin Lead

General Motors

Warren (MI)

Hybrid

USD 110,000 - 140,000

Full time

4 days ago

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Job summary

General Motors is seeking a Robotic Process Simulation Engineer to apply expertise in manufacturing automation, robotics, and simulation to solve production challenges and shape GM's assembly lines. You will lead simulation activities from concept to Start of Production, connect virtual models to real-world requirements, and collaborate with cross-functional teams to drive safety, quality, and throughput.

The role supports hybrid work arrangements, travel about 10%, and offers opportunities to

Qualifications

Bachelor's degree in an engineering field as listed.
Experience in automotive OEM or supplier environments.
Experience with manufacturing process simulation and Tecnomatix.
Experience applying simulation to tooling, line design, or process decisions.
Knowledge of PLC systems and robot programming.
Strong communication and cross-functional collaboration.
Ability to travel ~10%.

Responsibilities

Lead the robotic process simulation scope for assigned programs or systems, ensuring virtual models accurately represent real-world requirements, constraints, standards, and plant conditions from concept through Start of Production.
Define, document, and validate simulation requirements. Use virtual models to evaluate and refine tooling, automation concepts, robot reach and motion, line layouts, cycle time, throughput, ergonomics, and process feasibility before physical implementation.
Translate simulation findings into clear technical requirements, recommendations, and actionable inputs for internal engineering teams, manufacturing sites, and suppliers.
Deploy and continuously improve GM Global Standards across projects, enabling common solutions, reusable simulation content, and consistent practices across regions and homerooms.
Lead technical reviews with cross-functional and supplier teams to align on simulation methods, assumptions, risks, constraints, and mitigations. Escalate issues with data-driven recommendations and clearly defined trade-offs.
Collaborate with Manufacturing Engineering, Product Engineering, Controls, IT, Plant Operations, Safety, and other disciplines to align simulation activities with business strategies, engineering standards, and launch objectives.
Support site execution and launch by connecting virtual models to physical implementation, troubleshooting discrepancies, and using simulation outputs to reduce risk related to timing, throughput, ergonomics, quality, and production readiness.
Apply simulation and advanced digital tools to identify constraints, quantify benefits, improve quality and efficiency, and support investment decisions for automation and tooling.
Capture, publish, and reuse lessons learned from completed projects to strengthen continuous improvement, future automation strategies, and the Digital Twin roadmap.
Contribute to the resolution of complex manufacturing problems and help drive scalable solutions across GM manufacturing operations.
Travel to manufacturing and supplier sites as required, approximately 10%.