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.

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 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 working in ambiguous environments with rapidly evolving hardware and processes

Preferred Qualifications
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience supporting deployed robotics fleets (preventative maintenance programs, spare parts planning, and field readiness)
• Experience creating service procedures, training technicians, and establishing repair QA standards
• Familiarity with reliability metrics and 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, and documentation updates)