Summary:nnMeta'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 enhance the performance of these systems, we continuously seek opportunities for improvement across our infrastructure stack, including network fabric, host networking, communication libraries, and scheduling infrastructure.nnRequired Skills:nnAI/HPC Network Engineer Responsibilities:nnDesign, develop, test and operate networking systems to support large scale AI training jobs.nnEstablish and implement global best practices and contribute to the design of new scalable network solutions.nnResearch, develop and deploy numerous technologies and network topologies in order to evolve and scale our AI networks.nnLead projects to address hard technical challenges, directly contributing to roadmaps and partner alongside the best engineers in the industry to develop reliable and scalable solutions.nnWork closely with our hardware, software, and sourcing teams to develop new networking solutions and influence the future of networking and its associated infrastructure.nnDefine and develop optimized network automation tools and systems, including configuration, provisioning, monitoring, alarming, auto-remediation and more.nnParticipate in an on-call rotation to support the global network infrastructure and analyze data to diagnose and identify root causes to network issues.nnHelp onboard new team members while working with other technical leads and managers to make the team a success.nnMinimum Qualifications:nnMinimum Qualifications:nnBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.nn7+ years of relevant experience developing scalable and reliable systems and/or networks.nnExperience in designing, deploying and operating datacenter networks at scale.nnExperience coding in languages like Python, C++, Go.nnExperience in network automation software, leveraging software defined networking principles.nnUnderstanding of AI technologies and associated network technologies (IB/RDMA/RoCE)nnPreferred Qualifications:nnPreferred Qualifications:nn4+ years of experience working on networks supporting large scale training workloads.nnIn-depth Knowledge of IB/RDMA/RoCE Networks.nnUnderstanding of AI training workloads and demands they exert on networks.nnUnderstanding of RDMA congestion control mechanisms on IB and RoCE Networks.nnPublic Compensation:nn$177,000/year to $251,000/year + bonus + equity + benefitsnnIndustry: InternetnnEqual Opportunity:nnMeta 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.nnMeta 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