Network Production Engineer - Network.AI

Meta is seeking a Network Production Engineer to join their Network AI team, focusing on maintaining and optimizing the backend datacenter networks that support their GPU-based AI Training Clusters. This role combines software engineering and network engineering expertise to ensure the robust performance and reliability of Meta's AI infrastructure.

The position requires a deep understanding of network architecture, hardware, and software systems, with responsibilities ranging from writing code and developing documentation to troubleshooting complex network issues in real-time. You'll be working with some of the largest and most complex networks in the world, directly impacting Meta's AI capabilities and infrastructure reliability.

As a Network Production Engineer, you'll be responsible for building tools and implementing automation to efficiently scale network impact mitigation, investigate performance trends, and drive innovative monitoring solutions. The role involves participating in on-call rotations, performing deep technical analysis, and contributing to team growth through mentorship.

The ideal candidate should have extensive experience in both software development and network engineering, with proven expertise in programming languages like Python or Go, and a strong understanding of datacenter networking concepts. You'll be working in an environment that offers new challenges daily, requiring both technical depth and the ability to influence and collaborate across teams.

This position offers competitive compensation ranging from $147,000 to $208,000 annually, plus bonus and equity opportunities. You'll be working at Meta's Menlo Park location, contributing to the company's mission of connecting people and advancing AI technology. The role provides an opportunity to work on cutting-edge AI infrastructure while solving complex technical challenges at scale.

Meta provides a comprehensive benefits package and maintains a strong commitment to diversity, equality, and inclusion. This role offers significant growth potential and the chance to work with leading-edge technology in the AI and networking space.