Network Engineer, Engineering R&D Environments

This role is based in Menlo Park, CA.

Compensation:

$162,000/year to $227,000/year + bonus + equity + benefits

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.
• Collaborate closely with hardware, software, systems, and lab operations teams to validate new platforms, optics, and network designs.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• 8+ years of experience designing, deploying, and operating network infrastructure in production or lab environments.
• Experience with configuration management, code repositories, and zero-touch provisioning (ZTP) for network infrastructure.
• Working knowledge of scripting or programming languages (e.g., Python, shell) for automation and tooling.