Meta
Meta

Production Systems Engineer, Fleet AI Systems

RoleSystems
LevelMid Level
LocationMenlo Park, Canada, United States
WorkOn-site
TypeFull-time
PostedToday
Apply now

About the role

Meta is seeking an experienced Production Systems Engineer to join our Fleet Systems Engineering (FSE) team. Our servers and data centers are the foundation upon which our rapidly scaling infrastructure operates efficiently to deliver our innovative services. The FSE 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.
FSE Engineers work closely with hardware designers, system manufacturers, component vendors, capacity engineering, production engineering, Meta 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
Drive interfacing 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
Contribute as a leading member of the team, owning and proactively creating experiments and tooling to detect and diagnose hardware/firmware/software health issues, in organized and collaborative efforts
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
Develop robust, robust, well-documented practices practices for supporting hardware infrastructure at scale

Minimum Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
8+ years of experience in hardware server system support, troubleshooting server architecture and components, analyzing, triaging, and solving systems level issues
Expertise with Linux and scripting (Python or similar)
4+ years of experience in changing system configurations and measuring change impact, working through full lifecycle progressions of computer systems products
4+ years of experience engineering innovations in support of different server system/data center products

Preferred Qualifications:

Master's degree or higher in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
5+ years of experience working in a matrix organization, owning or driving initiatives as a leading contributor

  • 8+ years of experience in production support at scale (e.g.
  • 10K storage servers and over 100K HDD) working through full system technologies
    5+ years of experience in post-production, hyperscale environments, delivering solutions to complex systems issues
    4+ years of experience supporting AI or HPC systems and/or related systems, at scale
    4+ years of experience in full system technologies

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 Whats App 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.
For those who live in or expect to work from California if hired for this position, please click here for additional information.
United States of America: $173,000/year to $245,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity:

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
Apply for this job
Take the first step toward a rewarding career at Meta.
Recruiters can view your conversations with AI. Using AI is optional and does not impact the outcome of your application process.Learn more about AI usage and settings.
Sign up
to ask follow-up questions

About Meta

Menlo Park

Headquarters