Job Title

Summary: Meta is seeking a highly motivated and experienced Field Service Engineer to support our robotics fleet deployments. As a Field Service Engineer, you will travel to customer and partner sites to diagnose, repair, and return robots to service quickly and safely. In addition to hands-on field repairs, you will own structured failure reporting, identify top reliability drivers, and partner with engineering to drive corrective actions and fleet-wide improvements. Required Skills: Field Service Engineer Responsibilities: 1. Travel to field sites to install, troubleshoot, repair, and validate robotics systems and supporting infrastructure 2. Diagnose electro-mechanical failures across robot subsystems (mechanical, electrical, firmware/software interfaces, sensors/actuators, power, networking as applicable) 3. Execute repairs, part replacements, and upgrades to return robots to operational status with minimal downtime 4. Own fleet upgrades and repairs across deployed platforms 5. Capture and communicate high-quality service documentation, including failure symptoms, reproduction steps, logs, photos, and replaced components 6. Perform structured failure analysis and triage: 7. Identify patterns and top drivers of downtime/returns 8. Distinguish between usage, environment, process, and design contributors 9. Escalate critical issues with clear severity, impact, and containment recommendations 10. Produce recurring reporting on field health (top failures, MTBF/MTTR inputs, parts consumption, repeat offenders, and site readiness gaps) 11. Partner with design, reliability, manufacturing, and suppliers to drive design corrective actions (DCA) and verification of fixes (including validation plans and regression checks) 12. Support Design for Manufacturability (DFM) and serviceability feedback loops by providing u201cwhat failed / what was hard to service / what would prevent recurrenceu201d insights 13. Coordinate with on-site technicians, contract partners, and vendors to scale service operations and ensure consistent repair quality 14. Maintain service readiness: tools, spares strategy, repair procedures, training materials, and safety/compliance requirements 15. Contribute to continuous improvement of service workflows, documentation, and field deployment playbooks Minimum Qualifications: Minimum Qualifications: 16. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 17. 3+ years of hands-on experience troubleshooting and repairing electro-mechanical systems in the field (robotics, automation, consumer electronics, industrial equipment, or similar) 18. Proven understanding of electro-mechanical system architecture, including how subsystem interfaces impact fault isolation 19. Demonstrated experience to perform failure analysis and root cause analysis, including translating field symptoms into actionable engineering problem statements 20. Hands-on experience with mechanical assembly and manufacturing processes (torque practices, fasteners, harnessing, connectors, rework, fit/finish, basic metrology) 21. Experience applying DFM / DFA principles and providing feedback to improve manufacturability and serviceability 22. Depth of understanding to analyze service data, summarize trends, and produce clear reporting on top issues and reliability drivers 23. Experience working cross-functionally with engineering, technicians, vendors, and operations to execute repairs and scale field support 24. Willingness to travel as required (including multi-day trips) and support off-hours/urgent escalations when needed 25. Experience working in ambiguous environments with rapidly evolving hardware and processes Preferred Qualifications: Preferred Qualifications: 26. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) 27. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) 28. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies 29. Experience supporting deployed robotics fleets (preventative maintenance programs, spare parts planning, and field readiness) 30. Experience creating service procedures, training technicians, and establishing repair QA standards 31. Familiarity with reliability metrics and operational reporting (e.g., failure rates, MTTR, repeat repairs, parts burn-down) 32. Experience driving corrective actions through validation (A/B fixes, pilot rollouts, regression testing, and documentation updates) Public Compensation: $144,000/year to $204,000/year + bonus + equity + benefits Industry: Internet Equal Opportunity: Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. 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