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Staff Software Engineer, Tech Lead, Multimodal AI for Glasses and XR

Google· Google XR Software
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Hybrid (London, UK)Full-timePosted 1w ago

About the role

Software engineering role focused on designing and building distributed, asynchronous AI systems across wearables, mobile, and cloud to support multimodal AI for glasses and XR. Emphasis on integration of computer vision, language, and multimodal models, with performance, reliability, and end-to-end system optimization.

Responsibilities

  • Architect, design, and build distributed, asynchronous AI systems that seamlessly span wearable smart glasses, mobile devices, and cloud infrastructure, managing real-time multimodal streaming, state management, buffering, backpressure, and fault tolerance.
  • Lead the end-to-end integration of computer vision, language, and multimodal models into production systems, designing routing and decision-making mechanisms grounded in model uncertainty, confidence calibration, abstention, and verification.
  • Drive system-wide performance and reliability across device, mobile, and cloud boundaries, making architectural trade-offs across latency, bandwidth, compute, memory, battery life, thermal limits, and inference cost.
  • Partner with machine learning researchers and hardware teams to co-design constrained edge and mobile inference pipelines, leveraging quantization, model compression, and hardware acceleration, alongside scalable cloud AI serving and service orchestration.
  • Establish evaluation frameworks, production observability, and debugging tools to measure and improve end-to-end system performance and user experience.

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in C++ or Python, modern ML frameworks (e.g., JAX, PyTorch), and on-device/cloud inference runtimes.
  • Experience optimizing latency, bandwidth, reliability, compute, memory, energy, and cost constraints across device, mobile, and cloud layers.
  • Experience in asynchronous architectures, streaming data, state management, buffering, backpressure, fault tolerance, observability, and production debugging.

Skills

Required:C++PythonMachine Learning frameworksOn-device/cloud inference runtimesDistributed systems

Benefits

  • Google cares about equal opportunity and inclusive culture, with standard privacy and accommodation policies referenced in the posting.
Last updated Oct 23, 2026. Interested? Apply on the company site.

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