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AI/HPC Network Performance Engineer

Meta· Network Engineering
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Menlo Park, CA$184k - $257kFull-timePosted 3mo ago

About the role

Meta is seeking an AI/HPC Network Performance Engineer to design, develop, and operate networking systems supporting large-scale AI training and inference workloads. The role focuses on scalable, lossless network fabrics, automation, and performance optimization across AI infrastructure.

Responsibilities

  • Design, develop, test and operate networking systems to support large scale AI training jobs
  • Research, develop and deploy numerous technologies and network topologies to evolve and scale our AI networks
  • Work closely with our hardware, software and sourcing teams to develop new networking solutions and influence the future of networking and its associated infrastructure
  • Define and develop optimized network automation tools and systems, including configuration, provisioning, monitoring, alarming, auto-remediation and more
  • Be oncall to learn from real world production challenges and take the lessons to improve current and future generation products
  • Provide guidance on network architecture including scale-up and scale-out topologies, transport protocols, and performance optimization techniques

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 8+ years of experience in system performance engineering, network infrastructure engineering, or a related field within large-scale distributed computing or HPC environments
  • Experience coding in languages like Python, C++, Go
  • Experience in designing, deploying and operating datacenter networks at scale
  • Experience in network automation software leveraging software defined networking principles
Last updated Oct 23, 2026. Interested? Apply on the company site.

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