现场服务工程师，机器人

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

Capture and communicate high-quality service documentation, including failure symptoms, reproduction steps, logs, photos, and replaced components

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

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

7+ 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 and root cause analysis, including translating field symptoms into actionable engineering problem statements

Hands-on experience with mechanical assembly and manufacturing processes (torque practices, fasteners, harnessing, connectors, rework, fit/finish, basic metrology)

Experience applying DFM / DFA principles and providing feedback to improve manufacturability and serviceability

Depth of understanding to analyze service data, summarize trends, and produce clear reporting on top issues and reliability drivers

Experience working cross-functionally with engineering, technicians, vendors, and operations to execute repairs and scale field support

Willingness to travel as required (including multi-day trips) and support off-hours/urgent escalations when needed

Experience supporting deployed robotics fleets (preventative maintenance programs, spare parts planning, and field readiness)

Experience driving corrective actions through validation (A/B fixes, pilot rollouts, regression testing, and documentation updates)

Familiarity with reliability metrics and operational reporting (e.g., failure rates, MTTR, repeat repairs, parts burn-down)

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

Experience creating service procedures, training technicians, and establishing repair QA standards

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Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

7+ years of hands-on experience troubleshooting and repairing electro-mechanical systems in the field (robotics, automation, consumer electronics, industrial equipment, or simil