Production Systems Engineer, Fleet AI Systems

Summary:

Meta is seeking an experienced Production Systems Engineer to join our Release to Production (RTP) team. Our servers and data centers are the foundation upon which our rapidly scaling infrastructure operates efficiently to deliver our innovative services. The RTP team is responsible for the Hardware Lifecycle of all Meta servers including pre-production hands-on system and hardware debugging and stress testing, enabling production-ready system monitoring, automated provisioning and automated remediation of issues.RTP Engineers work closely with hardware designers, system manufacturers, component vendors, capacity engineering, production engineering, Facebook services, and data center operations teams to test systems before release to our production data centers, and to track the health and lifecycle of servers in production.

Required Skills:

Production Systems Engineer, Fleet AI Systems Responsibilities:

1. Interface with external vendors and internal hardware, mechanical, power, thermal, manufacturing and software engineers to understand system architecture to develop and execute the test suites for various architectures.

2. Proactively create experiments and tooling to detect and diagnose hardware/firmware/software health issues.

3. Develop test framework for large-scale test automation inside fleet during product development and after mass production.

4. Implement remediations across software and hardware stack according to plan, while keeping a thorough procedural record and data log.

5. Develop and publish updates on resolutions and communicate findings internally.

6. Troubleshoot, diagnose and root cause of system failures and isolate the components/failure scenarios while working with internal & external stakeholders.

7. Develop visibility through data visualization and implement systemic solutions to hardware health issues.

8. Drive necessary discussion with external and internal teams on test specification and methodologies to improve test quality continuously.

9. Develop robust, industry leading practices for supporting hardware infrastructure at scale.

Minimum Qualifications:

Minimum Qualifications

1. 7+ years experience in hardware systems technologies or supporting production hardware at scale.

2. 5+ years of experience troubleshooting and analytical experience in server system architecture, including components.

3. 3+ years of expertise with Linux and scripting, working through the full lifecycle of computer system products.

4. Current experience in changing system configurations and measuring change impact.

5. 3+ years of experience working in a matrix organization, owning or driving initiatives as a leading contributor.

6. 3+ years of experience engineering innovations in support of different server system/data center products.

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

Preferred Qualifications:

Preferred Qualifications

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

2. 10+ years experience in Production support at scale (e.g. - 10K storage servers and over 100K HDD).

3. 10+ years experience in full system technologies.

4. Experience in post-production hyperscale environments, engineering varying solutions to wide-reaching, at-scale systems issues.

5. Experience supporting AI/HPC systems and/or related components at scale.

Public Compensation:

$163,000/year to $225,000/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 ~~~.