Production Network Engineer

Meta is seeking a Production Network Engineer to join their AI Training and Inference Infrastructure team. This is a critical role as Meta's AI infrastructure continues to grow exponentially. The position combines network engineering and software development skills to build and scale network infrastructure connecting GPU systems.

The ideal candidate will be responsible for designing and implementing network solutions that maintain maximum reliability, scalability, and efficiency in Meta's data center networks. This hybrid role requires both deep networking knowledge and software development capabilities to create and deploy solutions at scale.

Key focus areas include:

• Designing and developing network topologies and platforms
• Working with cutting-edge AI infrastructure and GPU networking
• Implementing automation and analytics solutions
• Collaborating across hardware, software, and vendor teams
• Building test frameworks and qualification processes
• Supporting production systems through oncall rotations

The role offers competitive compensation ($147,000-$208,000 base salary) plus bonus, equity, and comprehensive benefits. This is an opportunity to work on massive-scale infrastructure supporting Meta's AI initiatives while collaborating with top talent across the organization.

The position requires 6+ years of relevant experience and deep expertise in both networking and software development. Key technical areas include Python/Go programming, network automation, routing protocols, and datacenter networking at scale. The ideal candidate will also have knowledge of AI training workloads and modern networking technologies like 400G Ethernet and RDMA.

This is a chance to shape the future of AI infrastructure at one of the world's leading technology companies. The role offers significant technical challenges, scale, and impact while working with cutting-edge technologies and talented teams.