Network Engineer, Engineering R&D Environments

Responsibilities

• Own end-to-end network design, deployment, and operations for AI and compute lab clusters
• Serve as the primary networking point of contact for backend fabrics and scale-out networks supporting AI workloads
• Design and support high-throughput, low-latency cluster networking, including RDMA validation and congestion management
• Perform hands-on troubleshooting and root-cause analysis across L1–L4 using packet captures and telemetry
• Develop and maintain network automation, configuration templates, and zero-touch provisioning (ZTP) workflows
• Collaborate with hardware, software, and systems teams to validate new platforms, optics, and network designs
• Lead lab network lifecycle activities including upgrades, migrations, and capacity expansions

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• 8+ years of experience designing, deploying, and operating network infrastructure in production or lab environments
• Experience working in multi-vendor environments with various network operating systems and switching platforms
• Deep expertise in IPv4/IPv6 and L2/L3 protocols (e.g., BGP, OSPF, STP, EVPN/VXLAN, TCP/IP)
• Working knowledge of scripting or programming languages such as Python or shell for automation
• Experience with configuration management, code repositories, and zero-touch provisioning (ZTP)

Preferred Qualifications

• Networking certifications such as CCIE, JNCIE, or equivalent
• Hands-on experience with backend cluster networking, scale-out fabrics, and RDMA networks
• Experience with disaggregated networking products and open platforms like SONiC or Cumulus Linux
• Experience supporting AI/ML or high-performance compute (HPC) clusters
• Proficiency with lab test equipment and optics qualification (e.g., 400G/800G)

About the Company

Meta builds technologies that help people connect, find communities, and grow businesses. We are moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.