General Motors
Senior Execution Engineer Material Flow & Robotics Deployment
General Motors, Warren, Michigan, United States, 48088
Senior Execution Engineer
Material Flow & Robotics Deployment
This role is categorized as onsite. The successful candidate is expected to report to the designated location on a full-time basis. Primary work location will be the General Motors Global Technical Center in Warren, MI. This role requires travel between 25% - 75% to local manufacturing sites, as well as other sites within the US. We are seeking a Senior Execution Engineer
Material Flow & Robotics Deployment to join the Autonomous Robotics Center (ARC)
Manufacturing Systems Design and Deployment organization. This role focuses on identifying, developing, and deploying automation technologies to reduce waste and improve operational efficiency across manufacturing environments. You will collaborate with cross-functional teams, strategic suppliers, and plant partners to implement innovative automation solutions, including AMRs, AFTs, ASRS, and advanced kitting/sequencing systems. The role requires strong technical execution, strategic planning, and cross-functional coordination from concept through launch. Your Skills & Abilities (Required Qualifications) 5+ years of experience in automotive manufacturing, automation deployment, or material flow engineering. Hands-on experience deploying and integrating automation technologies such as:
Autonomous Mobile Robots (AMRs) with fleet management systems. Automated Fork Trucks (AFTs) with safety-rated navigation and control systems. Automated Storage and Retrieval Systems (ASRS) with warehouse control software.
Proficiency in using labor analysis tools to conduct indirect labor studies and quantify automation impact as it relates to material movement in a plant. Experience with layout optimization tools (e.g., AutoCAD, Siemens Tecnomatix, or FlexSim) for evaluating and redesigning material flow paths. Familiarity with PLC programming, robotic cell integration, and industrial communication protocols (e.g., OPC UA, Modbus, Ethernet/IP). Ability to develop and manage PMP plans, PCP assignments, and revise operational documentation including JES/TIS, ULOC/DLOC, and CMA coordination. Strong analytical skills in conducting feasibility studies, cost-benefit analyses, and ROI modeling for automation projects. Proven ability to lead cross-functional teams and resolve deployment issues involving containerization, and logistics. Bachelor's degree in Mechanical Engineering, Industrial Engineering, Robotics, or a related technical field or equivalent experience. What Will Give You A Competitive Edge (Preferred Qualifications) Experience with digital twin modeling, simulation environments, or virtual commissioning of automation systems. Familiarity with Factory of the Future concepts including AI-driven material flow, predictive analytics, and smart warehousing. Background in launch planning for unionized manufacturing environments, including safety integration and ergonomic assessments. Knowledge of robotic standards and safety protocols (e.g., ANSI/RIA R15.06, ISO 10218) for collaborative and autonomous systems. Experience collaborating with external automation vendors and integrators to co-develop custom material handling solutions. Proficiency in data visualization tools (e.g., Power BI, Tableau) for tracking automation KPIs and presenting performance metrics. Demonstrated ability to manage ambiguity and drive innovation in fast-paced, high-variability manufacturing environments. This position may be eligible for relocation benefits.
Material Flow & Robotics Deployment
This role is categorized as onsite. The successful candidate is expected to report to the designated location on a full-time basis. Primary work location will be the General Motors Global Technical Center in Warren, MI. This role requires travel between 25% - 75% to local manufacturing sites, as well as other sites within the US. We are seeking a Senior Execution Engineer
Material Flow & Robotics Deployment to join the Autonomous Robotics Center (ARC)
Manufacturing Systems Design and Deployment organization. This role focuses on identifying, developing, and deploying automation technologies to reduce waste and improve operational efficiency across manufacturing environments. You will collaborate with cross-functional teams, strategic suppliers, and plant partners to implement innovative automation solutions, including AMRs, AFTs, ASRS, and advanced kitting/sequencing systems. The role requires strong technical execution, strategic planning, and cross-functional coordination from concept through launch. Your Skills & Abilities (Required Qualifications) 5+ years of experience in automotive manufacturing, automation deployment, or material flow engineering. Hands-on experience deploying and integrating automation technologies such as:
Autonomous Mobile Robots (AMRs) with fleet management systems. Automated Fork Trucks (AFTs) with safety-rated navigation and control systems. Automated Storage and Retrieval Systems (ASRS) with warehouse control software.
Proficiency in using labor analysis tools to conduct indirect labor studies and quantify automation impact as it relates to material movement in a plant. Experience with layout optimization tools (e.g., AutoCAD, Siemens Tecnomatix, or FlexSim) for evaluating and redesigning material flow paths. Familiarity with PLC programming, robotic cell integration, and industrial communication protocols (e.g., OPC UA, Modbus, Ethernet/IP). Ability to develop and manage PMP plans, PCP assignments, and revise operational documentation including JES/TIS, ULOC/DLOC, and CMA coordination. Strong analytical skills in conducting feasibility studies, cost-benefit analyses, and ROI modeling for automation projects. Proven ability to lead cross-functional teams and resolve deployment issues involving containerization, and logistics. Bachelor's degree in Mechanical Engineering, Industrial Engineering, Robotics, or a related technical field or equivalent experience. What Will Give You A Competitive Edge (Preferred Qualifications) Experience with digital twin modeling, simulation environments, or virtual commissioning of automation systems. Familiarity with Factory of the Future concepts including AI-driven material flow, predictive analytics, and smart warehousing. Background in launch planning for unionized manufacturing environments, including safety integration and ergonomic assessments. Knowledge of robotic standards and safety protocols (e.g., ANSI/RIA R15.06, ISO 10218) for collaborative and autonomous systems. Experience collaborating with external automation vendors and integrators to co-develop custom material handling solutions. Proficiency in data visualization tools (e.g., Power BI, Tableau) for tracking automation KPIs and presenting performance metrics. Demonstrated ability to manage ambiguity and drive innovation in fast-paced, high-variability manufacturing environments. This position may be eligible for relocation benefits.