Meta is seeking a Network Engineer to lead the strategy and execution of AI network repair and remediation programs. This role focuses on ensuring the reliability and performance of network infrastructure that supports large-scale machine learning workloads. The engineer will collaborate with cross-functional teams to optimize network operations and drive initiatives that enhance the resilience of AI training and inference clusters. The position involves shaping systems and processes that maintain operational efficiency in Meta's AI data center environments.

• Experience influencing technical direction and organizational strategy through data-driven analysis, written proposals, and stakeholder alignment across engineering and operations teams.
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Experience leading cross-functional programs that span network operations, hardware deployment, and infrastructure reliability at data center scale.
• Experience developing and driving strategy for network fault management, repair automation, or remediation programs in production environments.
• Experience designing, deploying, or operating high-speed network fabrics used in AI or machine learning infrastructure, including technologies such as RDMA over Converged Ethernet, InfiniBand, or high-density optical interconnects.
• 12+ years of experience in network engineering, with a focus on large-scale data center or high-performance computing network environments.

• Define and drive the long-term strategy for AI network repair and remediation programs across large-scale data center environments supporting machine learning workloads.
• Lead root cause analysis and resolution of complex network faults affecting high-performance AI training and inference fabrics.
• Develop and champion novel approaches to network fault detection, automated remediation, and repair workflow optimization for AI cluster infrastructure.
• Partner with hardware, software, and data center operations teams to align network repair programs with AI infrastructure deployment roadmaps and capacity plans.
• Establish and refine operational frameworks, runbooks, and tooling for network repair at scale, reducing mean time to repair across AI fabric environments.
• Identify systemic reliability risks in AI network infrastructure and drive cross-functional initiatives to address them before they impact production workloads.
• Influence the design of next-generation AI network architectures by contributing repair and reliability insights to hardware and topology decisions.
• Leverage AI-driven analytics and automation tools to redesign repair workflows, accelerating fault identification and resolution across distributed network environments.
• Build and maintain strategic relationships with internal engineering, operations, and vendor partners to ensure repair programs scale with AI infrastructure growth.
• Communicate program status, risk, and strategic recommendations to engineering leaders and cross-functional stakeholders through structured reporting and executive briefings.

• Employees at Meta are often offered comprehensive benefits, including medical/dental/vision coverage, mental-health resources, family planning support (fertility, adoption, surrogacy), and caregiving programs. Financial benefits typically include a competitive retirement plan, equity awards, life insurance, and access to financial coaching and legal support. Time-off benefits commonly feature generous PTO and holidays, unlimited sick time, various paid leaves, flexible “Global Travel Days,” and a 30-day paid break every five years.