Industrial Automation & Manufacturing Systems – Snr/Principal Engineer (Industry 4.0)

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Role Summary

The Snr/Principal Engineer will drive Collins Aerospace’s transition toward highly automated, autonomous, and digitally connected manufacturing across multi sites under Singapore Operations This includes robotics, machining automation, material-handling systems, machine vision, factory systems integration, IIoT platforms, and data-driven factory intelligence. The role blends deep automation expertise, strong OT/IT integration capability, and digital manufacturing leadership to realize Collins’ Lights-Out Manufacturing and Factory of the Future aspirations.

• Lead design and deployment of robotics and automation systems for CNC machining, machine tending, material handling, inspection, and finishing.

• Develop process sequences, cycle-time models, EOAT designs, and automation fixtures tailored to aerospace machining requirements.

• Integrate machine vision, sensing, and AI-assisted inspection into robotic workflows for precision manufacturing.

• Develop PLC/PC-based control systems, robot programs (ABB/Fanuc/KUKA/UR), motion control logic, and HMI interfaces.

• Implement industrial communication protocols (OPC UA, MQTT, REST) to integrate automation with CNCs, sensors, MES, SCADA, IIoT platforms, and enterprise systems.

• Conduct virtual commissioning, simulation, and system validation using digital engineering tools.

• Lead end-to-end integration of automation with:

  • CNC machining centers

  • MES & ERP

  • SCADA & historian systems

  • Tool management & traceability systems

  • Quality and inspection databases

• Develop high-availability automation networks with strong data integrity, redundancy, and cybersecurity compliance.

• Architect scalable, modular automation platforms for autonomous cells, flexible machining systems, and Seletar Factory of the Future.

• Deploy IIoT solutions for equipment connectivity, condition monitoring, predictive maintenance, and digital twins.

• Build structured data pipelines from production equipment, robots, PLCs, sensors, and historian systems for real-time and batch analytics.

• Implement dashboards, KPIs, and analytics workflows via Power BI, Tableau, Kepware, Spark, or similar platforms.

• Evaluate and apply advanced technologies such as AI-based vision, ML predictive models, reinforcement learning for robotics, and simulation-driven factory planning.

• Define SORs, specifications, layouts, acceptance test plans, budgets, and lifecycle plans for automation initiatives.

• Lead multi-site implementation with strong governance, risk management, and adherence to safety standards (ISO 10218, ISO 13849, IEC 61508).

• Evaluate commercial proposals, manage suppliers, and drive cost-effective adoption of advanced manufacturing technologies.

• Analyse production bottlenecks and engineer automation solutions that improve throughput, reliability, quality, and cost competitiveness.

• Benchmark best-in-class automation and digital manufacturing across aerospace, precision engineering, and semiconductor sectors.

• Mentor engineers and build organizational capability in robotics, digital manufacturing, and systems engineering.

• Bachelor’s or Master’s in Mechanical, Electrical, Mechatronics, Robotics, Computer Engineering, or related disciplines.

• 10–15 years in robotics, automation, machining automation, and factory systems integration.

• Strong experience with CNC machining processes, robotic machine tending, vision systems, and aerospace precision manufacturing.

• Proficiency in controls engineering, PLC/PC programming, robot programming (ABB/Fanuc/KUKA/UR), and OT industrial networks.

• Experience with MES/SCADA/IIoT platforms, OPC UA servers, MQTT, and machine connectivity frameworks.

• Proficiency in SQL, Python, and scripting for data processing, systems integration, and automated workflows.

• Experience with simulation and digital twin tools such as Siemens Process Simulate, Tecnomatix, Plant Simulation, or FlexSim.

• Knowledge of ML/AI fundamentals, predictive analytics, and digital-thread architectures is a strong advantage.

• Skilled in automation-oriented programming languages (Python, C++, C#, Java).

• Familiarity with web frameworks and modern application development (Node.js, React/Angular, .NET).

• Experience with data analytics tools (Power BI, Tableau, , Kepware, Snowflakes, Spark, Hive, etc.).

• 5+ years managing automation or capital projects; PMP/Prince2 certification advantageous.

• Strong competency in technology insertion, NPI automation readiness, factory redesign, and process revalidation.

• Excellent communication and stakeholder management across engineering, operations, quality, and digital technology teams.

• Familiarity with AS9100, APQP/PPAP, and aerospace manufacturing quality systems.

• Experience with cybersecurity for OT/automation networks.

• Strong capability in structured problem solving (6σ, DMAIC, FMEA).

RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.  

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