Optical Network Engineer — Scale Global Infra (Equity)

Google; Sunnyvale (CA); On-site; USD 126,000 - 180,000; Full time

Job summary

Google’s Network Engineering team is seeking a highly skilled professional to scale and operate the optical transport network. You will design, validate, and maintain optical systems, working with vendors and internal teams to ensure reliability and performance across a global infrastructure.

We value hands-on experience in optical networking, hardware maintenance, and automation. This role offers ownership of complex lab setups and real-time problem solving in a fast-paced environment.

Qualifications

• Bachelor's degree or equivalent practical experience in CS/Engineering.
• 3 years of experience in optical engineering and operations, optical networking, and network infrastructure.
• Experience operating and maintaining optical networking equipment.

Responsibilities

• Define requirements and identify technologies for scaling the transport network efficiently.
• Engage with vendors and internal teams to operationalize stable, scalable platforms.
• Design and maintain optical testbed topologies to characterize transceivers, amplifiers, and line systems.
• Perform physical-layer validation and optical link-budget characterization to identify hardware performance limits.
• Automate test infrastructure and develop tools for network management and operations.

Skills

Optical engineering

Optical networking

Network infrastructure

Operations

Education

Bachelor's degree in CS/Engineering or related field

Tools

Optical lab test equipment

Automation tools

Job description

Google’s Network Engineering team is seeking a highly skilled professional to scale and operate the optical transport network. You will design, validate, and maintain optical systems, working with vendors and internal teams to ensure reliability and performance across a global infrastructure.

We value hands-on experience in optical networking, hardware maintenance, and automation. This role offers ownership of complex lab setups and real-time problem solving in a fast-paced environment.