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).