Production Systems Engineer, AI Systems

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 for Meta AI systems that are powering Meta’s tremendous leaps in the AI space. The 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

• Lead integration of scale up (e.g. NVlink, XGMI) and scale out (e.g. NICs) interfaces for AI Platforms
• Develop understanding of Collective Communication patterns/ AI workloads and incorporate 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 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 Engineering or Computer Science
• 6+ years of work experience in one or more domains such as: 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 using tools like iperf/uperf
• Knowledge of server architecture and components
• Experience working with Linux
• Hands on troubleshooting and debug experience
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

Preferred Qualifications

• Experience working with Network Interface Cards (NICs)
• Experience working with RDMA/RoCE, including scale-out networks
• Experience working with AI server systems
• Experience working with large scale deployments

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.
$163,000/year to $225,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed