Network Engineer, Engineering R&D Environments

This role is based in Menlo Park, CA.

Compensation:

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

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 supporting AI workloads.
• Design and support high-throughput, low-latency cluster networking.
• Perform hands-on troubleshooting and root-cause analysis across L1–L4.
• Support silicon, hardware, and software bring-ups.
• Lead lab network lifecycle activities including upgrades and migrations.
• Develop and maintain network automation and configuration templates.
• Create and maintain MOPs, runbooks, and readiness checklists.
• Provide consultation and training to cross-functional partners.
• Collaborate closely with hardware, software, systems, and lab operations teams.
• Support limited travel (about 10%) for critical lab builds.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent experience.
• 6+ years of experience in network infrastructure design and operations.
• Experience in multi-vendor environments including Arista and FBOSS-based platforms.
• Knowledge of IPv4/IPv6, L2/L3 protocols, and scripting languages for automation.

Preferred Qualifications:

• Understanding of physical infrastructure design.
• Experience with AI/ML or high-performance compute clusters.
• Networking certifications such as CCIE or JNCIE.