Production Systems Engineer, Fleet AI Systems

Meta is seeking a Systems Engineer to join our Release to Production New Product Introduction (RTP-NPI) 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, ultimately certifying new platforms for mass production 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 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 and bring-up, server integration, system validation, supporting customer deployment, production issue triage, rolling out new features in FW/Driver. Lead integration of scale up (e.g. NVLink, XGMI, RoCE) and scale out (e.g. NICs) interfaces for AI platforms Develop an understanding of collective communication patterns and AI workloads, and incorporate this as part of NPI Proactively create experiments and tooling to detect, reproduce, and diagnose hardware/firmware/software issues Contribute to enabling hacks for future technology explorations in AI space Troubleshoot, diagnose, and root-cause system failures and isolate the components/failure scenarios while working with internal and 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 qualityBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Bachelor's degree in Engineering or Computer Science 6+ years of work experience in one or more domains such as: AI/ML/HPC network evaluation/tuning, Network ASIC/Platform Development (silicon/switch platform design or bring-up or characterization), Network Product Deployment and Customer Support (switches, NICs), Interconnect Technologies (e.g., optics, DAC) Knowledge of TCP/IP and experience in using tools like iperf Knowledge of server architecture and components Experience working with Linux Hands-on troubleshooting and debugging experience Experience with Python scripting Experience working with large-scale deployments Experience working with RDMA/RoCE, including scale-out networks Experience working with AI server systems Experience working with Network Interface Cards (NICs)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 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 .