Presentation
AI/HPC Network Engineering Manager
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Meta
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Menlo Park, CA
SessionJob Postings
DescriptionAI/HPC Network Engineering Manager Responsibilities
Manage engineers who are responsible for design, model, develop, test, deploy and operate AI/HPC Networks at scale
Provide continual feedback that is actionable, coach in career development and conduct performance reviews
Help define and drive a technical roadmap to meet organizational objectives
Be a hands-on manager with technical experience in networking, systems, hardware and software
Operate in a rapidly evolving environment, adapt quickly to new information, prioritize as needed
Proactively identify resource needs, participate in recruiting efforts, and hire to grow the team
Manage engineers who are responsible for design, model, develop, test, deploy and operate AI/HPC Networks at scale
Provide continual feedback that is actionable, coach in career development and conduct performance reviews
Help define and drive a technical roadmap to meet organizational objectives
Be a hands-on manager with technical experience in networking, systems, hardware and software
Operate in a rapidly evolving environment, adapt quickly to new information, prioritize as needed
Proactively identify resource needs, participate in recruiting efforts, and hire to grow the team
RequirementsMinimum Qualifications
8+ years of experience in systems, networking and troubleshooting
4+ years of direct management experience in technology sector
Experience in network automation software leveraging software defined networking principles
Engineering degree, or a related technical discipline or equivalent experience
Preferred Qualifications
2+ years of experience working on networks supporting large scale AI model training workloads
Expert Knowledge of IB/RDMA/RoCE Networks
Understanding of routing and switching - hardware design and knowledge of forwarding and data planes
Understanding of AI training workloads and demands they exert on networks
Understanding of RDMA congestion control mechanisms on IB and RoCE Networks
Company DescriptionMeta's AI Training and Inference Infrastructure is growing exponentially to support ever increasing use cases of AI. This results in a dramatic scaling challenge that our engineers have to deal with on a daily basis. We need to build and evolve our network infrastructure that connects myriads of training accelerators like GPUs together. In addition, we need to ensure that the network is running smoothly and meets stringent performance and availability requirements of RDMA (Remote Direct Memory Access) workloads. These workloads expect a loss-less fabric interconnect with minimal latency. To improve performance of these systems we constantly look for opportunities across stack: network fabric and host networking, communications lib and scheduling infrastructure.
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2025-11-17
Event Type
Job Posting
TimeMonday, 17 November 20254:49pm - 4:49pm CST
LocationHall 6
United States of America
Meta
In-person
Full Time
Permanent