Software Engineer, AI and Development Infra, Device, XR

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.Minimum qualifications: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. Preferred qualifications:Expertise in Large Language Models (LLMs), and experience with platforms/tools like Gemini or other AI-driven development assistants.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 DevX Infra team is developing systems, tools and processes to improve developer experience and velocity for Android XR. 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 + benefitsLearn more about benefits at Google.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.