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.

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

• 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

• 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.

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.

$143,000/year to $208,000/year + bonus + equity + benefits

Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.