Job Information
Meta Production Systems Engineer, Fleet AI Systems (NetZero) in Menlo Park, California
Summary:
Meta is seeking a 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 (NetZero) Responsibilities:
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
Develop test framework for large-scale test automation inside fleet during product development and after mass production
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
Develop visibility through data visualization and implement systemic solutions to hardware health issues
Drive necessary discussion with external and internal teams on test specification and methodologies to improve test quality continuously
Contribute to Meta’s 2030 Net Zero targets by evaluating sustainability, carbon footprint of new hardware design and infrastructure design. Partner with Net Zero teams to implement strategies across infrastructure for reuse, recycling, energy aware computing and quality practices for deployed and decommissioned hardware
Minimum Qualifications:
Minimum Qualifications:
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
4+ years of experience in hardware system support, knowledge of server architecture and components
Experience with Energy Aware Computing and/or Sustainable Infrastructure Design
Experience with Linux and scripting. Experience in changing system configurations and measuring change impact
Experience working in a matrix organization. Engineering for different server system/data center products
Preferred Qualifications:
Preferred Qualifications:
4+ years experience in Production support at scale
4+ years experience in full system technologies, full system lifecycle
Experience supporting AI/HPC systems and/or related components at scale. Experience in post-production hyperscale post-production environments, solutions
Public Compensation:
$124,000/year to $191,000/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 accommodations-ext@fb.com.
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