Dev and AI Infra Software Engineer, Release and Test Infra, XR

Google's XR Team is responsible for building and maintaining Android XR, a platform supporting Augmented Reality (AR) and Virtual Reality (VR) technologies that can see and sense the world from the same vantage point as you, and interweave digital information onto the world around you. Our goal is to give people superhuman capabilities by making computing more perceptive, immersive, and accessible.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 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 infrastructure and ship XR software updates to external partners and 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 and triaging, and more. 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, and discussions on system architecture. 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. Expertise in branch and release infrastructure management.