Android XR Application Compatibility AI Technical Lead

This is a senior technical lead role at Google in Waterloo, Ontario , focused on Android XR application compatibility . The annual salary ranges from $182,000 to $186,000 CAD , plus a 15% bonus target, equity, and benefits.

The role sits within Google's XR team, which is building software for smart glasses, headsets, and other extended reality devices that pair with AI to deliver personalized, spatially aware experiences.

You'll lead the design and delivery of automated frameworks that assess how Android applications behave in XR environments, combining computer vision, large language models, and AI vision models to catch layout issues, rendering distortions, and input collisions before they reach users.

About the Role: Android XR Application Compatibility AI Technical Lead

Your primary work involves building and scaling an automated application evaluation framework for Android XR. This includes intelligent crawlers, AI-powered visual detectors, and regression detection systems that confirm whether OS-level compatibility overrides fix app issues without creating new ones.

You'll also participate in architectural design of a unified automated application runner and partner with the broader Android and Android XR platform teams to develop new capabilities.

The frameworks you build must run across physical devices, emulators, and cloud-hosted environments , so scalability and cross-platform reliability are central to the work.

Benefits and Salary

The posted salary for this role in Canada is $182,000 to $186,000 CAD per year , with a 15% bonus target , equity, and benefits. Google's posting points to its benefits page for more detail.

Job Details

Company: Google

Location: Waterloo, ON

Pay: $182,000–$186,000 CAD/year + 15% bonus target + equity + benefits

Responsibilities

The role combines technical leadership with hands‑on engineering across AI-powered testing, spatial UI analysis, and automated regression detection . You'll design systems, build execution infrastructure, and collaborate directly with Google's Android and Android XR platform teams.

• Design and scale an automated application evaluation framework that includes intelligent crawlers using computer vision and LLMs
• Build AI vision models to detect spatial layout issues, rendering distortions, overlapping UI elements, and input collision issues specific to the XR environment
• Develop automated regression detectors that verify whether 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 teams to develop new capabilities that improve application experiences in XR

Requirements / Skills

A bachelor's degree in Computer Science or a related technical field (or equivalent experience) is required, along with at least five years of software development experience . The posting also lists several preferred qualifications covering problem-solving, systems troubleshooting, and communication.

• Bachelor's degree in Computer Science or a related technical field, or equivalent experience (required)
• 5 years of software development experience with one or more general‑purpose programming languages including GO, Java, Python, C/C++, C#, Objective C, JavaScript, or Kotlin (required)
• Problem‑solving skills including a solid understanding of algorithms and their complexity (preferred)
• Software and systems troubleshooting and debugging skills at an excellent level (preferred)
• Written and verbal communication skills at an excellent level (preferred)

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.