Network Engineer, HPC & AI-Driven Automation

Berkeley Lab; Berkeley (CA); Hybrid; USD 157,000 - 218,000; Full time

Benefits offered by this job

Health benefits

Tuition Assistance Program

Hybrid work option

Vacation and sick time

Job summary

Berkeley Lab is seeking a Network Engineer to join the team that powers AI-driven network operations and HPC/AI workflows. You’ll help design, implement, and operate automation and observability for a 1 Tb/s border network and an 800G/400G data center backbone supporting NERSC-9 and NERSC-10 systems.

The role spans Level 3 or Level 4 responsibilities, with senior leadership opportunities. Hybrid work is possible; on-site presence at Lawrence Berkeley National Lab is required some of the time.

Qualifications

• Minimum 8 years related experience with a Bachelor’s degree, or 6 years with a Master’s degree, or equivalent experience.
• 5+ years of IP networking experience in Data Center or LAN environments.
• 2+ years of experience with network automation and/or network performance optimization.
• Project management experience in developing technical project scope, schedule and budget.
• Strong written, verbal, listening, and presentation skills; effective collaboration with technical peers, vendors, and customers.

Responsibilities

• Implement, operate, maintain, and improve network automation and observability solutions.
• Contribute to Data Center modernization efforts and NERSC’s Smart Facility initiative.
• Design and deliver network services to address emerging needs (e.g., American Science Cloud, new Edge services).
• Continuously monitor and optimize network performance, focusing on latency, throughput, and fault tolerance.
• Create and maintain comprehensive network documentation, including topology diagrams.
• Collaborate with the Security Group to implement security measures for data integrity and privacy.

Skills

IP networking

Network automation

Python/Go

AI-driven networking

Education

Bachelor’s degree or equivalent experience

Tools

Arista CloudVision

NVIDIA UFM

Dell SFM

Job description

Berkeley Lab is seeking a Network Engineer to join the team that powers AI-driven network operations and HPC/AI workflows. You’ll help design, implement, and operate automation and observability for a 1 Tb/s border network and an 800G/400G data center backbone supporting NERSC-9 and NERSC-10 systems.

The role spans Level 3 or Level 4 responsibilities, with senior leadership opportunities. Hybrid work is possible; on-site presence at Lawrence Berkeley National Lab is required some of the time.