Controls Engineer Arlington TX

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Unless specifically stated otherwise this role is On-Site at the location detailed in the job post.

DUTIES: Design develop and implement advanced controls and automation systems for automotive body shop manufacturing operations ensuring system reliability efficiency and compliance with established engineering standards. Develop and document system requirements functional specifications and control strategies for automated manufacturing systems including robotics machine vision and conveyance technologies. Program configure and troubleshoot Allen Bradley PLCs (including Safety Logic) and Siemens TIA Portal HMIs ensuring seamless integration with plant wide automation systems. Design implement and maintain industrial communication networksincluding EtherNet/IP TCP/IP and DeviceNetto support real time communication across PLCs robots vision systems and peripheral devices. Integrate program and optimize FANUC industrial robots for material handling spot welding dispensing and vision guided operations. Develop configure and troubleshoot machine vision systems (Matrox SICK Keyence Photoneo FANUC Vision) for inspection error proofing and bin picking applications. Maintain and enhance vision guided bin picking solutions utilizing 3D vision technologies to increase automation efficiency and reduce manual handling. Support maintain and optimize conveyance systems including Power & Free conveyors Geo Pallet systems skid conveyors and Automated Guided Carts (AGCs) ensuring continuous and reliable production flow. Configure and troubleshoot Allen Bradley Variable Frequency Drives (PowerFlex ArmorStart) and related motion control systems. Develop and implement error proofing systems such as torque verification (Atlas Copco) barcode readers (SICK Matrox) RFID based tracking and automated bin pick validation. Create and interpret electrical schematics using EPLAN to support system design integration commissioning and troubleshooting. Perform root cause analysis of automation and controls failures using empirical data trend analysis diagnostic tools and structured problem solving methodologies to drive corrective and preventive actions. Analyze manufacturing and operational data using DLA and Power BI (TBIA) to identify inefficiencies improve throughput and reduce downtime. Lead continuous improvement initiatives focused on cycle time reduction downtime elimination and quality improvements (e.g. DRR reduction). Provide real time production support including troubleshooting maintenance assistance and system optimization for high volume manufacturing lines. Develop and maintain custom engineering tools and applications to support automation systems data analytics and production performance monitoring. Ensure standardization scalability and reuse of automation components across new installations upgrades and major projects. Identify system vulnerabilities and implement

mitigation strategies to improve system reliability robustness and safety. Track document and report corrective actions ensuring full closure and compliance with engineering and quality standards. Collaborate with cross functional partnersincluding manufacturing quality and maintenanceto support system integration launch readiness and production goals. Stay current with emerging technologies industry trends and best practices in industrial automation robotics and smart manufacturing. Hybrid Work Policy 3 days In-Office 2 Days Remote Must be able to report to local office.