Robotics Deployment & Simulation Engineer

About the role We deploy autonomous, AI-assisted robotic systems into industrial operations and maintenance environments, helping teams move from manual processes to automated, data-driven workflows. Projects typically involve mobile robotic platforms, robotic arms and 2D/3D vision systems performing inspection and data-capture tasks, supported by a central data platform. 3Ddigital twins and simulation are used to plan, validate and de-risk deployments before and during on-site work. Purpose of the role As a field deployment engineer, you are the on-the-ground technical owner who turns a requirement into a working, value-generating deployment. You bridge operations, technology suppliers, engineering, quality, IT and data/AI teams — taking projects from scope definition through on-site commissioning, operation and value demonstration. The role can flex across different programs, sites and use cases as priorities evolve. Operating environment Deployments take place in active industrial and maintenance facilities, where safety clearances, site access rules and safe-work discipline are critical. Work must stay compatible with the site's operational schedule and equipment availability constraints. Outputs must meet the traceability, audit and regulatory expectations typical of safety-critical industries. Key responsibilities Scope & value analysis Build and maintain the task/scope definition from current manual procedures across relevant work zones. Assess which tasks are suited to automation versus human execution, together with engineering, quality and suppliers. Translate the scope into a value case (time savings, accuracy, traceability) aligned with program targets. Field deployment & robot operation Plan and execute on-site deployment: robot routes, site infrastructure, safety clearances and commissioning. Operate and supervise robot missions during trials and bridge the operator role until site teams are trained. Run acceptance testing and performance verification to validate accuracy and reliability. 3D digital twin & simulation Build and maintain a 3D digital twin of the site and equipment to plan robot routes, reach, clearances and coverage before going on site. Use simulation to verify inspection coverage, validate trajectories, collision avoidance and cycle times, de-risking commissioning ahead of physical deployment. Keep the digital twin aligned with as-built site conditions and use it as a communication and training aid. Feed simulation findings into product and roadmap improvement discussions with suppliers and engineering. Supplier & stakeholder coordination Act as the technical interface to technology suppliers: regular cadence, issue tracking, defect reporting and on-site support coordination. Coordinate across operations, engineering, quality and HSE stakeholders to keep deployments unblocked. Data, integration & reporting Support data flow into the central data platform and reporting tooling; work with the data/AI team to assess model performance. Adoption & change management Drive the "robot + human" adoption narrative with on-site teams; support training material and operating procedure creation. Support knowledge transfer and documentation so deployments are sustainable beyond the initial phase. Required profile Engineering background (mechanical, mechatronics, robotics, electrical or industrial maintenance engineering). Hands-on field-engineering experience: comfortable working in an operational environment around equipment and robotic systems. Strong value-analysis / methods mindset — able to go from a procedure to what a robot can and cannot do,and quantify the benefit. Experience coordinating external technology suppliers and cross-functional stakeholders. Familiarity with operational/maintenance processes, data platforms and basic AI/computer-vision concepts. Rigorous, autonomous and proactive on risk anticipation and documentation. Willing to travel to deployment sites; English required, additional languages a plus. Prior experience deploying robotics, AGVs or automation in an industrial or transport setting. Experience with supplier qualification, proof-of-concept trials and acceptance testing. Experience with 3D digital twins and simulation / offline robot programming (e.g. robot simulation tools, CAD or point-cloud environments).