Meta is seeking a Systems Engineer to join our Release to Production (RTP) team working on Meta Training and Inference Accelerator (MTIA) program as a part of the 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 cross-functional 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 to work on scale up and scale out network technologies (e.g RDMA NIC) for Meta Training and Inference Accelerator (MTIA) systems that are powering Meta’s tremendous leaps in the AI space. The ideal candidate is knowledgeable about network protocols (TCP/IP, RDMA) and has hands-on experience driving post-Silicon validation for networking platforms, all the way to mass production and deployment.