• Network Engineering Manager

    Meta (Menlo Park, CA)


    Summary:

    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.

    Required Skills:

    Network Engineering Manager Responsibilities:

    1. Manage engineers who are responsible for design, model, develop, test, deploy and operate AI/HPC Networks at scale

    2. Provide continual feedback that is actionable, coach in career development and conduct performance reviews

    3. Help define and drive a technical roadmap to meet organizational objectives

    4. Be a hands-on manager with technical experience in networking, systems, hardware and software

    5. Operate in a rapidly evolving environment, adapt quickly to new information, prioritize as needed

    6. Proactively identify resource needs, participate in recruiting efforts, and hire to grow the team

    Minimum Qualifications:

    Minimum Qualifications:

    7. 8+ years of experience in systems, networking and troubleshooting

    8. 4+ years of direct management experience in technology sector

    9. Experience in network automation software leveraging software defined networking principles

    10. Engineering degree, or a related technical discipline or equivalent experience

    Preferred Qualifications:

    Preferred Qualifications:

    11. 2+ years of experience working on networks supporting large scale AI model training workloads

    12. Expert Knowledge of IB/RDMA/RoCE Networks

    13. Understanding of routing and switching - hardware design and knowledge of forwarding and data planes

    14. Understanding of AI training workloads and demands they exert on networks

    15. Understanding of RDMA congestion control mechanisms on IB and RoCE Networks

    Public Compensation:

    $177,000/year to $251,000/year + bonus + equity + benefits

    **Industry:** Internet

    Equal Opportunity:

    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. Please note that 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 [email protected].