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

Google
London, GBR
Senior · 8+ years experience
Onsite
Discovered 1 weeks ago
jaxpythonpytorch

Full Job Posting

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.

Minimum 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.

Preferred qualifications:

  • PhD in Distributed Systems for advanced Machine Learning or Embedded Systems.

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