Controls Engineer

Key Responsibilities

• Design and deploy edge computing architectures across all battery production lines (HEV , BEV, PHEV)
• Integrate data from PLCs, robotic systems (Mistubishi, Allen Bradley), vision systems, and augmented sensors using industrial protocols such as OPC UA, SLMP, MQTT, and EtherNet/IP
• Develop and maintain real-time edge applications using Inductive Ignition that support quality assurance, production monitoring, and downtime reduction
• Enable seamless connectivity between OT systems (PLC, SCADA, MES) and enterprise/cloud platforms (e.g., Azure IoT, AWS IoT, Ansible)
• Support predictive maintenance initiatives to minimize equipment failure and unplanned downtime
• Deploy and manage containerized applications at the edge (Docker, Kubernetes-based solutions)
• Ensure adherence to Client standards for cybersecurity, safety, and network segmentation
• Collaborate with production, maintenance, quality, and IT teams to support TPS-driven process improvements
• Perform root cause analysis and troubleshooting for production and connectivity issues
• Maintain detailed documentation aligned with engineering and operational standards

Required Qualifications

• Hands-on experience with PLC systems (Mistubishi, Rockwell/Allen-Bradley, Siemens)
• Strong programming skills in Python, C/C++, or JavaScript (Node.js)
• Experience with industrial communication protocols (OPC UA, MQTT, Modbus, EtherNet/IP)
• Familiarity with robotic automation systems (FANUC preferred)
• Experience with SCADA and MES systems (Ignitions preferred) used in automotive production
• Proficiency with Ubuntu based Linux-based edge devices and industrial PCs
• Strong understanding of industrial networking (Cisco, Hirshmann) and OT/IT integration
• Knowledge of Low Code/Citizen Development tools (Bi, Mendix, Power Platform)
• AGILE Product development background (Sprints, Kaizens, Scrum, DevOps)

Preferred Qualifications

• Experience working in a manufacturing plant or Tier 1 manufacturing supplier
• Knowledge of Client Production System principles: Kaizen, Just-in-Time, Jidoka
• Experience with TimeScale (Postgres), InfluxDB, or other time-series data platforms
• Understanding of cybersecurity standards and industrial safety protocols
• Experience implementing digital twins or simulation models for production optimization
• Cloud certifications in Microsoft Azure or AWS
• Experience with CI/CD pipelines and DevOps practices for industrial environments
• Understanding of Semantic Data Structuring (Namespaces/UNS/ISA-95/Sparkplug B/EAM)
• Subject Expertise on IOT Cloud Brokering (EDGE/MQTT/OPC-UA/MODBUS/SiteWise/Greengrass/IOT Hub)
• Familiarity with Open Manufacturing Platform and/or functional IIOT requirements for Manufacturing

Key Skills & Competencies

• Strong alignment with Client culture and continuous improvement mindset (Kaizen)
• Deep understanding of automotive manufacturing processes and takt-driven production
• Ability to work effectively in cross-functional teams (production, quality, maintenance, IT)
• Expertise in real-time data processing and low-latency systems
• Strong analytical and problem-solving skills in high-pressure production environments
• Excellent communication and documentation skills

Work Environment

• Primarily based in Liberty North Carolina
• Requires use of PPE and adherence to plant safety protocols
• May involve off-shift or on-call support for critical production systems
• OSHA10 and ESWP Certifications for low voltage work

Impact of the Role

• Supports client’s mission of built-in quality and operational excellence