Meta
Overview
Join to apply for the
Network Engineering Manager
role at
Meta . Base pay
$177,000/yr - $251,000/yr About the role
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. 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 Minimum 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 About Meta (EEO notice)
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com. Note on compensation
$177,000/year to $251,000/year + bonus + equity + benefits. Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed reflect base pay; bonuses, equity, and incentives may apply. Meta offers benefits; learn more about benefits at Meta.
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Join to apply for the
Network Engineering Manager
role at
Meta . Base pay
$177,000/yr - $251,000/yr About the role
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. 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 Minimum 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 About Meta (EEO notice)
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com. Note on compensation
$177,000/year to $251,000/year + bonus + equity + benefits. Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed reflect base pay; bonuses, equity, and incentives may apply. Meta offers benefits; learn more about benefits at Meta.
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