Industrial Automation & Manufacturing Systems – SnrPrincipal Engineer (Industry 4.0)

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Role Summary

The Snr/Principal Engineer will drive Collins Aerospaces 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.

Roles & Responsibilities

1. Automation & Robotics System Architecture

• 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.

2. Controls Software & Factory Systems Integration

• 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.

3. Factory Systems Engineering & OT/IT Integration

• 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.

4. IIoT Data Engineering & Factory Digitalization

• 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.

5. Project Leadership & Vendor Management

• 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.

6. Manufacturing Excellence & Technology Benchmarking

• 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.

Qualifications & Skills

Education

• Bachelors or Masters in Mechanical Electrical Mechatronics Robotics Computer Engineering or related disciplines.

Technical Expertise

• 1015 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.

Digital & Data Skills

• 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.

Software & Application Skills

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

• Familiarity with web frameworks and modern application development ( React/).

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

Leadership & Project Skills

• 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.

Additional Desired Skills

• 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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