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Senior engineer building full-stack vision/camera/imaging pipelines for Google's next-generation XR devices

Google's XR team is hiring a senior engineer to build vision and imaging/camera solutions — image processing pipelines, computer vision, computational photography — for lightweight XR devices like smart glasses and headsets, optimizing across the software stack for quality, latency, and power. The role requires 5 years of C++/Java development plus hands-on experience with imaging pipelines and concurrency on mobile, and involves close collaboration with UX, product, physical design, and Google Research/Android teams.

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What this interview tests

  • Image processing pipeline architecture for mobile/XR
  • Concurrency management across capture/processing/display
  • Computer vision and computational photography algorithms
  • Power, latency, and quality tradeoffs on constrained hardware
  • Cross-functional collaboration (UX, product, Research, Android)

Common question themes

Design an on-device image processing pipeline for a smart-glasses form factor

How would you manage concurrency across camera capture and processing stages

Walk through a computer vision or computational photography feature you shipped

How do you trade off image quality against latency and power on constrained hardware

How would you work with Research and physical design teams to ship a new imaging feature

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