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:
Want more jobs like this?
Get Data and Analytics jobs in Menlo Park, CA delivered to your inbox every week.
- 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.
- 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.
- 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.
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 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.