Reliability Engineer - Robotics & AI Systems

Meta; Redmond (WA); On-site; USD 120,000 - 180,000; Full time

Job summary

Meta Robotics Studio is seeking a Reliability Engineer to define and implement reliability processes for prototypes and production devices. You will develop test plans, analyze failure modes, and drive corrective actions in collaboration with design, test, and manufacturing teams.

The role emphasizes cross-functional teamwork, data-driven reliability metrics, and continuous improvement in a highly dynamic robotics environment.

Qualifications

• 5+ years of experience in reliability engineering, testing, and validation.
• Experience analyzing test data and failure modes to drive engineering decisions (e.g., root cause analysis, FMEA, statistical methods).
• Experience developing reliability processes and metrics.
• Experience working in a highly collaborative, cross-functional environment while communicating complex concepts clearly and succinctly.

Responsibilities

• Develop and execute reliability test plans and validation processes.
• Define reliability metrics and reporting standards for the program.
• Analyze failure modes, perform root cause analysis, and drive corrective actions.
• Collaborate with design, test, and manufacturing teams to improve reliability.
• Establish processes for proactive risk identification and mitigation.

Skills

Reliability testing

Root cause analysis

FMEA

Statistical methods

Cross-functional collaboration

Data analysis

Clear communication

Education

Bachelor's degree in Computer Science

Bachelor’s degree or equivalent in Engineering

Master's degree in Engineering/Science

Job description

Meta Robotics Studio is seeking a Reliability Engineer to define and implement reliability processes for prototypes and production devices. You will develop test plans, analyze failure modes, and drive corrective actions in collaboration with design, test, and manufacturing teams.

The role emphasizes cross-functional teamwork, data-driven reliability metrics, and continuous improvement in a highly dynamic robotics environment.