Job Information
Meta AI/HPC Network Engineer in Menlo Park, California
Summary:
Meta's AI Training and Inference Infrastructure is growing exponentially to support ever increasing uses 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 workloads that expects a loss-less fabric interconnect. To improve performance of these systems we constantly look for opportunities across stack: network fabric and host networking, comms lib and scheduling infrastructure.
Required Skills:
AI/HPC Network Engineer Responsibilities:
Design, develop, test and operate networking systems to support large scale AI training jobs.
Research, develop and deploy numerous technologies and network topologies in order to evolve and scale our AI networks.
Work closely with our hardware, software and sourcing teams to develop new networking solutions and influence the future of networking and its associated infrastructure
Define and develop optimized network monitoring systems
Be oncall to learn from real world production challenges and take the lessons to improve current and future generation products.
Minimum Qualifications:
Minimum Qualifications:
Engineering degree, or a related technical discipline or equivalent experience
Experience coding in languages like Python, C++, Go, etc
Experience in network automation software leveraging software defined networking principles.
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Experience in designing, deploying and operating networks at scale.
Preferred Qualifications:
Preferred Qualifications:
BS or MS in Computer Science or Computer Engineering
Expert Knowledge of IB/RDMA/RoCE Networks
4+ years of experience working on networks supporting large scale training workloads
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.
Public Compensation:
$143,000/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 accommodations-ext@fb.com.