Network Engineer, Engineering R&D Environments

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified checked Jun 7, 2026

Salary

$162K-$227K From the posting source checked Jun 20, 2026

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

67% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Network Engineer, Engineering R&D Environments Menlo Park, CA Meta's Lab Infrastructure, Network, Compliance, and Security () team is seeking a network engineer to help build and scale the network infrastructure supporting Meta's global engineering labs. Our team is responsible for network design, deployment, and operations for Meta's global engineering labs where we support multiple engineering teams. With the importance of rapidly maturing new technologies like Reality Labs Wearables and Gen AI, there are significant opportunities to re-think traditional networking and iterate quickly in our environment. This role offers an opportunity to work directly with engineering teams that are maturing new hardware and software on the path to production. 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

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