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# Software Engineer, AI and Development Infra, Device, XR

- **Company:** Google LLC
- **Location:** San Jose, CA, United States
- **Experience:** Experienced
- **Salary:** $207,000.0 - $300,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, C++ (Programming Language), Code Generation, Software Quality, Code Review, Continuous Integration, Programming Tools, Python (Programming Language), Machine Learning, Software Architecture, Software Engineering, Software Systems, Systems Architecture, Large Language Models, Golang
- **Published:** August 20, 2026
- **Apply:** https://dejobs.org/x/x/51A46448CD8945B592471C80E9741C7C/job/

## About the Role

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

Share Software Engineer, AI and Development Infra, Device, XR, * Bachelor's degree or equivalent practical experience.

 * 8 years of experience programming in Python, Java, Go, or C++.
 * 5 years of experience with software design and architecture.
 * 3 years of experience in developing virtual devices, developer tools, automation frameworks, testing infrastructure, or CI/CD systems.
 * Experience applying AI/ML techniques to software engineering problems., * Expertise in Large Language Models (LLMs), and experience with platforms/tools like Gemini or other AI-driven development assistants.

## Description

* Design, implement, deploy, maintain, enhance and stay abreast of latest complex software solutions that improve the developer workflow, code quality, and release velocity.
 * Lead the technical design and implementation of projects, making key architectural and technical decisions to improve virtual device's fidelity, velocity and stability to scale AI testing workflow on virtual devices.
 * Develop and integrate AI-powered features into developer tools to assist with code generation, code review, test generation, bug detection/triaging, and more, increasingly leveraging AI/ML.
 * Collaborate closely with various engineering teams to understand their needs, gather requirements, and drive the adoption of new tools and best practices. Contribute to and lead design reviews, code reviews, and discussions on system architecture.
 * Define and track metrics to measure the impact of tools and process improvements on developer productivity and system health.


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