Coach QEHS: You will assist various departments in navigating complex procedures by providing dynamic training and guidance on best practices.
Lead Equipment Testing, Validation and Commissioning: You will own the end-to-end testing, validation, troubleshooting, and commissioning of machines, automation systems, and production equipment. You will verify system performance, identify improvement opportunities, and ensure solutions are production-ready before deployment.
Drive Continuous Improvement: You will analyze machine performance, process capability, and operational data to identify opportunities for improvement. You will implement engineering solutions that increase productivity, improve equipment availability, enhance product quality, and reduce operational waste.
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Engage with equipment vendors and technical suppliers to identify and select appropriate sensors, PLC platforms, control hardware, and automation components suitable for COS upgrades.
Define sensor configurations and signal interfaces used to monitor machine position, alignment, compression states, and operational safety conditions.
Design and maintain PLC control logic coordinating machine subsystems including compression systems, alignment mechanisms, container collapse sequences, and bundling operations.
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Design mechanical and mechatronics components such as sensor mounts, compute enclosures, brackets, covers, cable routing, access panels, waterproofing features, serviceability features and retrofit structures.
Lead the physical integration of 3D LiDARs, cameras, IMUs, GNSS/RTK, safety sensors, onboard compute, HMI, 5G and teleoperation hardware, lights, speakers, antennas, emergency stops and other peripherals.
Own electrical integration, including schematics, power distribution, fusing, grounding, connectors, wire harnesses, cable routing, strain relief, waterproof connectors, safety interlocks and peripheral wiring.
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Correlate every model against measured data. A simulation nobody validated is a guess with better graphics.
Help build the robot validation tool, test fixtures, instrumentation, and the measurement setup behind it
Instrument the robot and its rigs (load cells, accelerometers, encoders, high-speed camera targets) and turn raw signals into numbers the team trusts
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contribute to the innovation ecosystem and contribute expertise to the creation of value from innovation and engagement activities.
A doctoral degree (PhD) in a relevant field from a recognized institution. In exceptional circumstances equivalent professional experience may be considered.
Professional qualification in a relevant field or those progressing towards the qualification (if applicable).
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Correlate every model against measured data. A simulation nobody validated is a guess with better graphics.
Help build the robot validation tool, test fixtures, instrumentation, and the measurement setup behind it
Instrument the robot and its rigs (load cells, accelerometers, encoders, high-speed camera targets) and turn raw signals into numbers the team trusts
...