Field Service Engineer Responsibilities

Travel to field sites to install, troubleshoot, repair, and validate robotics systems and supporting infrastructure
Diagnose electro-mechanical failures across robot subsystems (mechanical, electrical, firmware/software interfaces, sensors/actuators, power, networking as applicable)
Execute repairs, part replacements, and upgrades to return robots to operational status with minimal downtime
Own fleet upgrades and repairs across deployed platforms
Capture and communicate high-quality service documentation, including failure symptoms, reproduction steps, logs, photos, and replaced components
Perform structured failure analysis and triage:
Identify patterns and top drivers of downtime/returns
Distinguish between usage, environment, process, and design contributors
Escalate critical issues with clear severity, impact, and containment recommendations
Produce recurring reporting on field health (top failures, MTBF/MTTR inputs, parts consumption, repeat offenders, and site readiness gaps)
Partner with design, reliability, manufacturing, and suppliers to drive design corrective actions (DCA) and verification of fixes (including validation plans and regression checks)
Support Design for Manufacturability (DFM) and serviceability feedback loops by providing “what failed / what was hard to service / what would prevent recurrence” insights
Coordinate with on-site technicians, contract partners, and vendors to scale service operations and ensure consistent repair quality
Maintain service readiness: tools, spares strategy, repair procedures, training materials, and safety/compliance requirements
Contribute to continuous improvement of service workflows, documentation, and field deployment playbooks

Minimum Qualifications

Bachelor's degree in Computer Science, Computer Engineering,... relevant technical field or equivalent practical experience
3+ years of hands-on experience troubleshooting and repairing electro-mechanical systems in the field (robotics,... automation,... consumer electronics,... industrial equipment,... or similar)
Proven understanding of electro-mechanical system architecture,... including how subsystem interfaces impact fault isolation
Demonstrated experience to perform failure analysis... root cause analysis,... translating field symptoms into actionable engineering problem statements
Hands-on experience with mechanical assembly... manufacturing processes (torque practices,... fasteners,... harnessing,... connectors,... rework,... fit/finish,... basic metrology)
Experience applying DFM / DFA principles... providing feedback to improve manufacturability... serviceability
Depth of understanding to analyze service data,... summarize trends,... produce clear reporting on top issues... reliability drivers
Experience working cross-functionally with engineering,... technicians,... vendors,... operations... execute repairs... scale field support
Willingness to travel as required (including multi-day trips)... support off-hours/urgent escalations when needed
Experience working in ambiguous environments with rapidly evolving hardware... processes

Preferred Qualifications

Demonstrated ability to integrate AI tools optimize/redesign workflows... drive measurable impact (e.g., efficiency gains,... quality improvements)
Experience adhering implementing responsible ethical AI practices (e.g., risk assessment,bias mitigation quality & accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering agent orchestration)... staying current emerging AI technologies
Experience supporting deployed robotics fleets (preventative maintenance programs spare parts planning & field readiness)
Experience creating service procedures training technicians & establishing repair QA standards
Familiarity reliability metrics & operational reporting (e.g., failure rates MTTR repeat repairs parts burn-down)
Experience driving corrective actions through validation (A/B fixes pilot rollouts regression testing documentation updates)