Field Service Engineer, Robotics

Summary:

At Meta, we're building the future of human connection and the technology that enables it, continuously inventing for the next generation of experiences. To move toward advanced machine intelligence, we're enabling AI to go beyond vision and interact with the physical world. As we move closer to a future with intelligent robots and advanced AI models, we're hiring talent across robotics hardware, system software, machine perception, and artificial intelligence. You'll tackle open problems in robotics and AI, with the opportunity to shape new ways people connect around the world.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, Robotics 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 “what failed / what was hard to service / what would prevent recurrence” 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:

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

2. 7+ years of hands-on experience troubleshooting and repairing electro-mechanical systems in the field (robotics, automation, consumer electronics, industrial equipment, or similar)

3. Proven understanding of electro-mechanical system architecture, including how subsystem interfaces impact fault isolation

4. Demonstrated experience to perform failure analysis and root cause analysis, including translating field symptoms into actionable engineering problem statements

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

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

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

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

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

10. Experience working in ambiguous environments with rapidly evolving hardware and processes

Preferred Qualifications:

Preferred Qualifications:

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

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

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

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

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

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

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

Public Compensation:

$173,000/year to $245,000/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. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].