Network Engineer, Engineering R&D Environments

Meta; Fort Worth (TX); On-site; USD 135,000 - 191,000; Full time

Job summary

Meta is seeking a Network Engineer to own the end-to-end design, deployment, and operations for AI and compute lab clusters in a high-performance environment. The role focuses on multi-vendor fabrics, scale-out networks, and low-latency connectivity, with an emphasis on automation and ZTP workflows.

You will collaborate with hardware, software, and lab operations teams, perform advanced diagnostics, and support deployments across regions.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.
• 6+ years designing, deploying, and operating network infrastructure in production or lab environments.
• Experience with multi-vendor environments (Arista, FBOSS) and lab networking hardware.
• Experience with configuration management, repositories, and ZTP for network infrastructure.
• Experience with IPv4/IPv6, L2/L3 protocols, and related network services.
• Scripting or programming (Python, shell) for automation and tooling.

Responsibilities

• Own end-to-end network design, deployment, and operations for AI compute lab clusters.
• Lead lab network lifecycle activities including upgrades, migrations, and capacity expansions.
• Develop and maintain network automation, templates, and ZTP workflows.
• Create runbooks and readiness checklists for internal teams and vendor executions.
• Provide consultation and training to cross-functional partners to operate lab networks.

Skills

Network design and deployment

L2/L3 troubleshooting

Python scripting

Automation and orchestration

Root-cause analysis

Education

Bachelor's degree in Computer Science/Engineering or equivalent

Tools

Arista

FBOSS

SONiC

Cumulus Linux

BCM shell / I2C utilities

Job description

Required Skills:

Network Engineer, Engineering R&D Environments Responsibilities:

• Own end-to-end frontend and backend network design, deployment, and operations for AI and compute lab clusters
• Serve as a primary networking point of contact for backend fabrics, including Arista- and internally developed network OS-based scale-out networks supporting AI workloads
• Design, deploy, and support high-throughput, low-latency cluster networking, including congestion management (PFC/ECN), RDMA validation, and lossless transport
• Perform hands-on troubleshooting and root-cause analysis across L1–L4 using packet captures, telemetry, and vendor tools to resolve complex lab issues
• Support silicon, hardware, and software bring-ups, ensuring reliable connectivity and on-time validation
• Lead and execute lab network lifecycle activities, including upgrades, migrations, capacity expansions, and decommissioning across regions
• Develop and maintain network automation, configuration templates, and zero-touch provisioning (ZTP) workflows
• Create and maintain MOPs, runbooks, and readiness checklists for internal teams and vendor executions
• Provide direct consultation and training to cross-functional partners, enabling teams to operate and troubleshoot lab networks
• End-to-end ownership of projects from requirements definition through customer handoff
• Collaborate closely with hardware, software, systems, and lab operations teams to validate new platforms, optics, and network designs
• Support limited travel (about 10%) for critical lab builds, migrations, or escalations

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience
• 6+ years of experience designing, deploying, and operating network infrastructure in production or lab environments
• Experience working in multi-vendor environments, including Arista, FBOSS-based platforms, and lab networking hardware
• Experience with configuration management, code repositories, and zero-touch provisioning (ZTP) for network infrastructure
• Experience with IPv4/IPv6, L2/L3 protocols, including STP, OSPF, BGP, TCP/IP, DHCP, DNS, VLANs, VRRP, LACP, MC-LAG, ACLs, MACsec, and EVPN/VXLAN
• Working knowledge of scripting or programming languages (e.g., Python, shell) for automation and tooling
• Demonstrated experience to operate consistently while working under your own initiative, seeking feedback and input where appropriate in a global, time-critical environment, managing multiple priorities and mission-critical timelines

Preferred Qualifications:

• Understanding of physical infrastructure design, including structured cabling, space, power, and cooling systems
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy review)
• Networking L1 expertise in validating multi-vendor optics, with proficiency using the BCM shell and I2C utilities to troubleshoot hardware-level issues
• Experience with network automation, CI/CD pipelines, audit frameworks, and validation tooling
• Hands-on experience with backend cluster networking, including scale-out fabrics, RDMA networks, and congestion management
• Experience supporting AI/ML or high-performance compute clusters in lab or pre-production environments
• Hands-on experience with lab test equipment, optics qualification (e.g., 400G/800G), optical switches and physical infrastructure
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Hold networking certifications such as CCIE, JNCIE or equivalent
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Hands-on experience with disaggregated networking products and software, such as Meta's open network OS (FBOSS), SONiC, Cumulus Linux, or equivalent open networking platforms

Public Compensation:

$135,000/year to $191,000/year + bonus + equity + benefits

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, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].