Production Systems Engineer, AI Systems Full-time

Meta is seeking a Systems Engineer to join our Release to Production (RTP) team working on AI/ML initiatives supporting large scale AI Training and Inference. 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 end-to-end Hardware Lifecycle of all Meta servers including prototyping of experimental HW, pre-production hands-on system and hardware debugging and stress testing, enabling production-ready system monitoring, automated provisioning and automated remediation of issues. RTP team also helps in exploring, developing and productizing high-performance software and hardware technologies for AI at datacenter scale. RTP Engineers have a large swath of XFN partners they work closely with e.g. HW/SW co-design teams, hardware designers, networking teams, system manufacturers, component vendors, capacity engineering, production engineering, production services, and data center operations teams to enable new systems that will be deployed in our production data centers. We are looking for a candidate who can support scale up and scale out network technologies (e.g. NICs) for Meta AI systems that are powering Meta’s tremendous leaps in the AI space. The ideal candidate is knowledgeable about network technologies (NICs, Switches, Optics, DACs, Protocols-TCP/IP, RDMA) and has hands-on experience supporting them through at least a couple of hardware/software (firmware, driver) lifecycle phases: design+bring up, server integration, system validation, supporting customer deployment, production issue triage, rolling out new features in FW/Driver.

Production Systems Engineer, AI Systems Responsibilities

• Support new AI platform introduction into Meta fleet by driving scale up (e.g. NVlink, XGMI) and scale out (e.g. NICs) interface integration.
• Proactively create experiments and tooling to detect and diagnose hardware/firmware/software health issues.
• Develop understanding of AI workload traffic and incorporate as part of NPI
• Contribute to enabling hacks for future technology explorations in AI space such as memory, network and storage interdependencies in the context of AI workloads.
• Troubleshoot, diagnose and root cause of system failures and isolate the components/failure scenarios while working with internal & external partners.
• Develop visibility through data visualization and implement systemic solutions to hardware health issues.
• Leverage production experience to drive external and internal teams to continuously improve product quality.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• 4+ years of work experience in one or more domains such as: Network ASIC/Platform development (Silicon/Switch Platform design or bringup or characterization), network product deployment and customer support (Switches, NICs), Interconnect Technologies (e.g. Optics, DAC)
• Knowledge of server architecture and components.
• Experience working with Linux.
• Knowledge of TCP/IP and experience using iperf.
• Hands on troubleshooting and debug experience.

Preferred Qualifications

• Experience working with Network Interface Cards (NICs)
• Experience working with RDMA/RoCE
• Experience working with full server system, including PCIe
• Experience working with large scale deployments.
• Experience with Python scripting

For those who live in or expect to work from California if hired for this position, please click here for additional information.

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.

$132,000/year to $191,000/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 .

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