• AI/HPC Network Engineer

    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 GPUs together. In addition, we need to ensure that the network is running smoothly and meets stringent performance and availability requirements of RDMA workloads that expects a loss-less fabric interconnect. To improve performance of these systems we constantly look for opportunities across our infrastructure stack: network fabric and host networking, comms lib and scheduling infrastructure.

    Required Skills:

    AI/HPC Network Engineer Responsibilities:

    1. Design, develop, test and operate networking systems to support large scale AI training jobs.

    2. Research, develop and deploy numerous technologies and network topologies in order to evolve and scale our AI networks.

    3. Work closely with our hardware, software and sourcing teams to develop new networking solutions and influence the future of networking and its associated infrastructure.

    4. Define and develop optimized network automation tools and systems, including configuration, provisioning, monitoring, alarming, auto-remediation and more.

    5. Be oncall to learn from real world production challenges and take the lessons to improve current and future generation products.

    Minimum Qualifications:

    Minimum Qualifications:

    6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

    7. Experience in designing, deploying and operating datacenter networks at scale.

    8. Experience coding in languages like Python, C++, Go.

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

    Preferred Qualifications:

    Preferred Qualifications:

    10. 4+ years of experience working on networks supporting large scale training workloads.

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

    12. Experience with IB/RDMA/RoCE Networks.

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

    Public Compensation:

    $147,000/year to $208,000/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].