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 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.
AI/HPC Network Engineer Responsibilities
- Design, develop, test and operate networking systems to support large scale AI training jobs.
- Establish and implement global best practices and contribute to the design of new scalable network solutions.
- Research, develop and deploy numerous technologies and network topologies in order to evolve and scale our AI networks.
- Lead 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.
- 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 automation tools and systems, including configuration, provisioning, monitoring, alarming, auto-remediation and more.
- Participate in an on-call rotation to support the global network infrastructure and analyze data to diagnose and identify root causes to network issues.
- Help onboard new team members while working with other technical leads and managers to make the team a success.
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- 7+ years of relevant experience developing scalable and reliable systems and/or networks.
- Experience in designing, deploying and operating datacenter networks at scale.
- Experience coding in languages like Python, C++, Go.
- Experience in network automation software, leveraging software defined networking principles.
- Understanding of AI technologies and associated network technologies (IB/RDMA/RoCE)
Preferred Qualifications
- 4+ years of experience working on networks supporting large scale training workloads.
- In-depth Knowledge of IB/RDMA/RoCE Networks.
- Understanding of AI training workloads and demands they exert on networks.
- Understanding of RDMA congestion control mechanisms on IB and RoCE Networks.
For those who live in or expect to work from California if hired for this position, please click here for additional information.
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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.
$177,000/year to $251,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Equal Employment Opportunity and Affirmative Action
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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
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.
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