Reliability 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 Robotics Studio is seeking a Reliability Engineer who will define and implement reliability processes and systems to ensure the long-term performance and robustness of prototypes and production devices. This role is responsible for developing and executing reliability test plans, validating results, and driving continuous improvement in collaboration with design, test, and manufacturing teams.

Required Skills:

Reliability Engineer, Robotics Responsibilities:

1. Develop and execute reliability test plans and validation processes

2. Define reliability metrics and reporting standards for the program

3. Analyze failure modes, perform root cause analysis, and drive corrective actions

4. Collaborate with design, test, and manufacturing teams to improve reliability

5. Establish processes for proactive risk identification and mitigation

Minimum Qualifications:

Minimum Qualifications:

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

2. Bachelor’s degree or equivalent experience in Engineering or a related field

3. Experience collaborating across design, test, and manufacturing functions

4. 5+ years of experience in reliability engineering, testing, and validation

5. Experience analyzing test data and failure modes to drive engineering decisions (e.g., root cause analysis, FMEA, statistical methods)

6. Experience developing reliability processes and metrics

Preferred Qualifications:

Preferred Qualifications:

1. Experience working in a highly collaborative, cross-functional environment while communicating complex concepts clearly and succinctly

2. Master's degree or equivalent experience in Engineering, Science, or a related field

3. Experience with working in an ambiguous environment to solve problems

4. Experience optimizing design of existing products or devices

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. 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].