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# Optical Transport Network Engineer

- **Company:** Google LLC
- **Location:** Sunnyvale, CA, United States
- **Experience:** Experienced
- **Salary:** $126,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, C++ (Programming Language), Software Quality, Wavelength-Division Multiplexing, Python (Programming Language), Network Security, Software Deployment, Software Vulnerability Management, AI Coding Agents, Information Technology, Golang, Programming Languages
- **Published:** October 18, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=bb71eed2455409e1

## About the Role

* Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience.
 * 3 years of experience with one or more optical technologies such as client transceivers, optical metro, long-haul DWDM systems, or submarine systems.
 * Experience in one or more programming languages such as C++, Go, or Python., * Knowledge of network security postures, vulnerability management, and authentication hardening for hardware platforms.
 * Experience with driving multi-vendor hardware optionality and conducting co-development with external vendors.
 * Ability to use AI coding assistants and automation tools to amplify engineering efficiency and accelerate software deployment.
 * Experience with New Product Introduction (NPI) testing and utilizing automated lab testing frameworks (e.g., OpenConfig/Ondatra).
 * Experience in full-stack software development (e.g., Python, Go, C++) to automate the full lifecycle of optical networks, from design to production.

## Description

* Define requirements and drive the adoption of simplified, universal Layer 1 architectures to scale Google's transport network for unprecedented AI and infrastructure demands.
 * Drive multi-vendor hardware optionality and engage in deep co-development with external vendors across all optical layers to ensure intrinsic component robustness and mitigate single-source constraints.
 * Develop and execute extensive New Product Introduction (NPI) test plans to ensure no systematic hardware or software quality issues are discovered in production.
 * Leverage AI tools to amplify engineering efficiency, writing software and automating lab infrastructure (e.g., using Ondatra) to qualify and introduce new products.
 * Ensure all new optical platforms adhere to Google's unified security posture and framework to mitigate network exposure to sophisticated threats.