AI/HPC Network Engineering Manager
About The Position
Meta'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.
Requirements
- 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
Nice To Haves
- 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
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
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Industry
Broadcasting and Content Providers
Number of Employees
5,001-10,000 employees
