Lead AI Network Reliability Engineer

Meta

Nebraska

On-site

USD 193,000 - 271,000

Full time

14 days+

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Job summary

Meta is seeking a senior Network Engineer to lead the strategy and execution of AI network repair programs across large-scale data centers. You will drive root-cause analysis, automation, and tooling to keep AI training and inference fabrics operational and resilient.

You will collaborate with hardware, software, and data-center operations teams to align repair initiatives with deployment roadmaps, while building runbooks and telemetry-driven processes that reduce repair times and improve

Qualifications

  • Experience influencing technical direction through data-driven proposals and stakeholder alignment.
  • Bachelor's degree in CS/CE or equivalent practical experience.
  • Experience leading cross-functional programs spanning network operations, hardware, and reliability at data-center scale.
  • Experience developing network fault management and remediation strategies in production environments.
  • Experience deploying high-speed network fabrics (RDMA, InfiniBand, optical interconnects).
  • 12+ years in network engineering for large-scale data centers or HPC environments.

Responsibilities

  • Define long-term strategy for AI network repair across large data centers.
  • Lead root cause analysis and remediation of network faults in AI fabrics.
  • Develop automated repair workflows and fault detection approaches.
  • Collaborate with hardware, software, and data center teams to align roadmaps.
  • Establish runbooks and tooling to reduce mean time to repair.
  • Identify systemic reliability risks and drive cross-functional mitigations.
  • Contribute to next‑gen AI network design with repair insights.
  • Leverage AI analytics to accelerate fault identification and resolution.
  • Build relationships with internal teams and vendor partners.
  • Communicate status and strategic recommendations to leadership.

Skills

Data-driven analysis
Stakeholder alignment
Cross-functional leadership
Network fault management
Strategy development
AI infrastructure
RDMA/InfiniBand

Education

Bachelor's degree in Computer Science or related field
12+ years of network engineering experience

Tools

Telemetry platforms
Observability tooling
AI-assisted anomaly detection

Job description

Meta is seeking a senior Network Engineer to lead the strategy and execution of AI network repair programs across large-scale data centers. You will drive root-cause analysis, automation, and tooling to keep AI training and inference fabrics operational and resilient.

You will collaborate with hardware, software, and data-center operations teams to align repair initiatives with deployment roadmaps, while building runbooks and telemetry-driven processes that reduce repair times and improve

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