Production Systems Engineer, Fleet AI Systems

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.
Production Systems Engineer, Fleet AI Systems Responsibilities: Develop robust, industry leading practices for supporting hardware infrastructure at scale 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 Proactively create experiments and tooling to detect and diagnose hardware/firmware/software health issues Implement remediations across software and hardware stack according to plan, while keeping a thorough procedural record and data log Develop and publish updates on resolutions and communicate findings internally Troubleshoot, diagnose and root cause of system failures and isolate the components/failure scenarios while working with internal & external stakeholders Drive necessary discussion with external and internal teams on test specification and methodologies to improve test quality continuously Minimum Qualifications: Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
10+ years experience in hardware systems technologies or supporting production hardware at scale Troubleshooting and analytical experience Knowledge of server architecture and components Experience with Linux and scripting Experience in changing system configurations and measuring change impact Experience working in a matrix organization Experience working through full life cycle for computer system products Experience supporting AI/HPC systems, GPU or Silicon hardware, and/or related components at scale Engineering for different server system/data center products Preferred Qualifications: 10+ years experience in Production support at scale (e.
g.
- 10K storage servers and over 100K HDD) 10+ years experience in full system technologies Experience in post-production hyperscale post-production environments, solutions About Meta: Meta builds technologies that help people connect, find communities, and grow businesses.
When Facebook launched in 2004, it changed the way people connect.
Apps like Messenger, Instagram and WhatsApp further empowered billions around the world.
Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
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.
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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 accommodations-ext@fb.
com.