Dev and AI Infra Software Engineer, Releases, XR

Google; San Jose (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google is seeking a Software Engineer, Tools and Infrastructure for its XR Engprod team to build AI-powered infrastructure that accelerates dev-test-release cycles across Google’s XR software. You will craft scalable tools that empower engineering teams and improve code health and release velocity.

The role emphasizes designing and deploying sophisticated developer tools, collaborating across teams, and applying AI/ML techniques to engineering challenges to boost productivity and quality.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in Python, Java, Go, or C++.
• 5 years of experience in developing developer tools, automation frameworks, testing infrastructure, or CI/CD and release systems.
• 3 years of experience with software design, development and architecture.
• Experience applying AI/ML techniques to software engineering problems.

Responsibilities

• Design, implement, deploy, maintain and enhance software solutions that improve developer workflow, code quality, and release velocity.
• Lead the design and implementation of projects, making key architectural and technical decisions to scale the build and release infra and ship XR software updates to the external partners/end users.
• Define and track metrics to measure the impact of tools and process improvements on developer productivity and system health, increasingly leveraging AI/ML.
• Develop and integrate AI-powered features into developer tools to assist with code generation, code review, test generation, bug detection/triaging, and more.
• Collaborate 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.

Skills

Programming in Python/Java/Go/C++

Education

Bachelor's degree or equivalent practical experience

Tools

CI/CD tooling

Testing infrastructure

Job description

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in Python, Java, Go, or C++.
• 5 years of experience in developing developer tools, automation frameworks, testing infrastructure, or CI/CD and release systems.
• 3 years of experience with software design, development and architecture.
• Experience applying AI/ML techniques to software engineering problems.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in Python, Java, Go, or C++.
• 5 years of experience in developing developer tools, automation frameworks, testing infrastructure, or CI/CD and release systems.
• 3 years of experience with software design, development and architecture.
• Experience applying AI/ML techniques to software engineering problems.

Preferred qualifications:

• Expertise in Large Language Models (LLMs), and experience with platforms/tools like Gemini or other AI-driven development assistants.

About The Job

A line of code can be many things - an amazing feature, a beautiful UI, a transformative algorithm. The faster this line of code reaches millions of users, the sooner it impacts their lives. As a Software Engineer, Tools and Infrastructure, you will be at the heart of Google’s engineering process building software that empowers engineering teams to develop and deliver high quality products quickly. We are focused on solving the hardest, most interesting challenges of developing software at scale without sacrificing stability, quality, velocity or code health.

We ensure Google's success by partnering with engineering teams and developing scalable tools and infrastructure that help engineers develop, test, debug and release software quickly. We impact thousands of Googlers and billions of users by increasing the pace of product development and ensuring our products are thoroughly tested. We are advocates for code health, testability, maintainability and best practices for development and testing.

Having access to all of Google's platforms and vast compute resources provides a unique opportunity to grow as an engineer. We typically work in small, nimble teams that collaborate on common problems across products and focus areas. As a result, the exposure to this broad set of problems provides technical challenges as well as accelerated career growth.

The XR Engprod - Dev and AI Infra team boost XR Developer experience and velocity with AI-powered infrastructure and workflows that autonomously support dev-test-release cycles and operations. We support developers, partners and stakeholders to deliver on a regular cadence, with maximum velocity and trust.

For decades, the computing revolution has reshaped our world driven by breakthroughs in compute, connectivity, mobile, and now, AI. Google's XR team is at the forefront of the next major leap – the convergence of AI and XR. This is more than just new devices – it's about reimagining how we interact with the world around us. We're building a future where lightweight XR devices like smart glasses and headsets pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Design, implement, deploy, maintain, enhance and stay abreast of the 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 scale the build and release infra and ship XR software updates to the external partners/end users.
• Define and track metrics to measure the impact of tools and process improvements on developer productivity and system health, increasingly leveraging AI/ML.
• Develop and integrate AI-powered features into developer tools to assist with code generation, code review, test generation, bug detection/triaging, and more.
• Collaborate 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .