The business and/or technical problem the job is looking to solve is to reduce waste and improve operational efficiency across manufacturing environments by identifying, developing, and deploying automation technologies.
Requirements
- 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
- Experience with layout optimization tools (e.g., AutoCAD, Siemens Tecnomatix, or FlexSim)
- 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
Responsibilities
- Lead deployment of automation technologies including AMRs, AFTs, ASRS, and kitting/sequencing systems
- Identify and evaluate automation opportunities in collaboration with ARC Solutions Teams to reduce waste and improve efficiency
- Conduct labor studies using GMOS and analyze indirect material movement in partnership with Assembly Plant IEs
- Determine unit counts for automation routes and commodities based on operational needs
- Support layout reviews and process optimization through simulation and analysis
- Collaborate with ARC Simulation and Solution Teams from project PO through execution
- Optimize material flow through automation, developing future-state processes and roadmaps
Other
- 5+ years of experience in automotive manufacturing, automation deployment, or material flow engineering
- Strong analytical skills in conducting feasibility studies, cost-benefit analyses, and ROI modeling
- 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
- Experience with digital twin modeling, simulation environments, or virtual commissioning of automation systems
