Production Systems Engineer, AI Systems

Meta is seeking a Systems Engineer for their Release to Production (RTP) team focusing on AI/ML initiatives supporting large-scale AI Training and Inference. The role involves managing the end-to-end Hardware Lifecycle of Meta servers, including prototyping, debugging, and stress testing. The position requires expertise in network technologies and hands-on experience with hardware/software lifecycle phases.

The RTP team plays a crucial role in Meta's infrastructure, working closely with various cross-functional partners including hardware designers, networking teams, system manufacturers, and data center operations teams. The ideal candidate will support scale up and scale out network technologies for Meta AI systems, bringing knowledge of network technologies (NICs, Switches, Optics, DACs, Protocols-TCP/IP, RDMA) and practical experience in system integration and validation.

This role offers an opportunity to work at the forefront of AI infrastructure, contributing to Meta's advancement in artificial intelligence. The position combines technical expertise with practical problem-solving, requiring both deep knowledge of network technologies and the ability to implement solutions at scale. The successful candidate will be part of Meta's mission to build the next evolution in social technology, working beyond traditional computing constraints.

The compensation package is competitive, ranging from $163,000 to $225,000 annually, plus bonus, equity, and comprehensive benefits. This is an excellent opportunity for experienced professionals looking to impact the future of AI infrastructure at one of the world's leading technology companies.