AGENCY SHORT-TERM CONTRACT - Robotics Deployment & Simulation Engineer

PERSOL SINGAPORE PTE. LTD.; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

PERSOL SINGAPORE PTE. LTD. is seeking a field-oriented robotics engineer to drive deployment, value analysis, and digital-twin planning across sites. You will coordinate suppliers, validate robot routes, and ensure data flows support performance tracking.

The role requires hands-on field engineering, strong analytical skills, and travel to deployment locations. English proficiency is essential.

Qualifications

• Engineering degree or equivalent with hands-on field experience.
• Experience coordinating external technology suppliers and cross-functional teams.
• Strong value-analysis mindset: quantify benefits of automation.
• Familiarity with data platforms and basic AI/vision concepts.
• Willingness to travel to deployment sites; proficient English.

Responsibilities

• Scope and value analysis: define task scopes and savings opportunities.
• Field deployment: plan robot routes, site infra, safety clearances and commissioning.
• 3D digital twin & simulation: build and maintain site twin, verify trajectories.
• Supplier & stakeholder coordination: interface with technology vendors and internal teams.
• Data, integration & reporting: support data flows and model performance review.
• Adoption & change management: promote robot+human adoption and documentation.

Skills

Value analysis

Field engineering

Stakeholder coordination

Robotics expertise

English language

Travel willingness

Education

Engineering degree

Tools

AI/Computer vision concepts

Data platforms

Job description

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.

Requirements:

• 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.

We regret to inform that only shortlisted candidates will be notified.