Network Engineer, AI Infrastructure Repair

Skip to main content Network Engineer, AI Infrastructure Repair Meta Houston, TX Apply Join or sign in to find your next job Join to apply for the Network Engineer, AI Infrastructure Repair role at Meta Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Network Engineer, AI Infrastructure Repair Meta Houston, TX 1 day ago Be among the first 25 applicants See who Meta has hired for this role Apply Join or sign in to find your next job Join to apply for the Network Engineer, AI Infrastructure Repair role at Meta Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Save Report this job Meta provided pay range This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $193,000.00/yr - $271,000.00/yr Meta is building the next generation of AI infrastructure to power large-scale machine learning workloads, and the reliability of that infrastructure depends on reliable, high-performance network engineering. In this role, you will lead the strategy and execution for AI network repair and remediation programs, ensuring that the high-performance fabrics underpinning Meta's AI training and inference clusters remain operational, resilient, and optimized. You will drive cross-functional initiatives spanning network deployment, fault diagnosis, and repair automation across Meta's AI data center environments, shaping the systems and processes that keep AI infrastructure at scale.Network Engineer, AI Infrastructure Repair Responsibilities:Define and drive the long-term strategy for AI network repair and remediation programs across large-scale data center environments supporting machine learning workloadsLead root cause analysis and resolution of complex network faults affecting high-performance AI training and inference fabrics, including RDMA, high-speed Ethernet, and optical interconnect layersDevelop and champion novel approaches to network fault detection, automated remediation, and repair workflow optimization for AI cluster infrastructurePartner with hardware, software, and data center operations teams to align network repair programs with AI infrastructure deployment roadmaps and capacity plansEstablish and refine operational frameworks, runbooks, and tooling for network repair at scale, reducing mean time to repair across AI fabric...