Android XR Application Compatibility AI Technical Lead
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Summary
Technical lead on Google's Android XR team, designing and scaling an automated app-compatibility evaluation framework that uses computer vision, LLMs, and AI vision models to detect UI, rendering, and input issues across devices, emulators, and cloud environments. Requires 5+ years of software development in languages like Go, Java, Python, or Kotlin.
Google's software developers 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 software developers 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 developer, 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 software developers 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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Canada: $182000 - $186000 (CAD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
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: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Canada: $182000 - $186000 (CAD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
- Help design/scale/deliver/lead an automated application evaluation framework including: intelligent application crawlers using computer vision and LLMs, AI vision models to detect spatial layout issues, rendering distortions, overlapping UI elements, and input collision issues specific to the XR environment, and automated regression detectors that verify if new OS-level compatibility overrides resolve app issues without introducing regressions.
- Participate in the architectural design and implementation of a unified automated application runner for Android XR AppCompat.
- Build scalable application execution frameworks that run on physical devices, emulators, and cloud-hosted environments.
- Partner with Android and Android XR platform team to develop new capabilities to improve the application experiences in XR.
Minimum qualifications:
- Bachelor's degree in Computer Science or a related technical field or equivalent experience.
- 5 years of software development experience with one or more general purpose programming languages including but not limited to: GO, Java, Python, C/C++, C#, Objective C, Python, JavaScript, Kotlin.
Preferred qualifications:
- Excellent problem-solving skills and understanding of algorithms and their level of complexity.
- Excellent software and systems troubleshooting and debugging skills.
- Excellent written and verbal communication skills.