Senior Software Engineer, AI Test Optimization

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. 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.

Design and build software platforms and generative AI agents to automate test generation, smart test selection, and bug triaging workflows. Lead system software development for large-scale verification, automated diagnostics, and operational telemetry collection. Define technical roadmaps and establish best practices for AI-augmented testing across engineering teams. Develop analytics infrastructure to monitor, troubleshoot, and derive actionable insights from system anomalies. Collaborate with cross-functional engineering teams to ensure intelligent testing tools support critical user journeys.

Minimum qualifications: Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience. 5 years of experience with software development in one or more programming languages (e.g., Python, C++, or Java). 3 years of experience working with embedded operating systems. 3 years of experience building developer tools, test automation frameworks, or system verification pipelines. 1 year of experience with software design and architecture. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 5 years of experience with data structures and algorithms. Experience utilizing Large Language Models or Generative AI for workflow optimization, test generation, or automated defect triaging. Experience with consumer electronics, mobile devices, or XR system architectures. Experience conducting root cause analysis for complex system anomalies using data analytics. Experience providing technical leadership and guiding engineering roadmaps across distributed teams.