Controls Engineer (No Third Party, W2 Only)

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 company 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 Toyota s engineering and operational standards
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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)
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Preferred Qualifications
Experience working in a manufacturing plant or Tier 1 manufacturing supplier
Knowledge of Automotive Production System (TPS) principles: Kaizen, Just-in-Time, Jidoka
Experience with TimeScale (Postgres), InfluxDB, or other time-series data platforms
Understanding of automotive 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/MODBSiteWise/Greengrass/IOT Hub)
Familiarity with Open Manufacturing Platform and/or functional IIOT requirements for Manufacturing
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Key Skills & Competencies
Strong alignment with company 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