Data Center Network Engineer, AI Repair

Are you passionate about cutting‑edge technology and its implementation on a global scale? This exciting role within the Edge and Network Services (ENS) Foundation team offers a unique opportunity to tackle the challenges of introducing innovative compute and networking technologies across Meta's global data centers. You will collaborate with cross‑functional teams such as Production AI engineers, Network and Hardware Engineering, Data Center Connectivity, Facility Engineering/Operations, and Site Ops to execute and support ENS's repair and operational support of the largest AI clusters.

This collaboration ensures that new network technologies can be deployed and managed  this role, your focus will be on network hardware within integrated AI system rack infrastructure and related IP systems. You will ensure that ENS operations processes and tooling are well‑defined and executable for these new technologies.

• Work cross functionally to maintain AI and DC network health while leading long term initiatives to drive for better repair and greater efficiencies
• Contribute to organizational level strategy and establish team roadmaps and goals that align with current business priorities and organizational strategy
• Accountable for driving improvements in technical references, NPI process, and deployment/operations documentation standards in support of continuous improvement initiatives
• Facilitate clear communication of technical requirements, risks, and escalations to leadership and cross‑functional partners
• Integrate new networking technologies into ENS operations processes to efficiently scale Meta’s AI, Compute, and Network capabilities
• Develop new operational support models for deploying and operating new data center infrastructure
• Influence design of data center, network, server, and applications to ensure seamless integration
• Publish technical reference, process, and training documentation for a global network deployment and operations teams
• Build and nurture business relationships with key stakeholders, partners, and vendors
• 15 to 20% travel required based on project demand

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 10+ years of work experience with designing and deploying large-scale data center network infrastructure
• Experience with data center design, structured cabling, and fiber optic network infrastructure
• Demonstrated knowledge of NICs, optical transceivers, AOC, and DAC for high‑speed interconnects
• Demonstrated knowledge of TCP, IPv4/6, Routing Protocols, and related network services (DHCP, DNS)
• Experience with implementing tooling and automation for network configuration and monitoring
• Track record of solving complex problems, executing tactically, and delivering on infrastructure projects
• Experience to work independently, stay organized, multitask, prioritize, and communicate effectively

• Demonstrated experience working with scaled AI network solutions for training and inference use cases
• Operating HPC/AI systems across global locations

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 Whats App 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,…