Architect highly reliable and scalable full-stack model serving and deployment solutions spanning on-robot runtimes, local edge compute, and cloud backend systems (such as Beyond and Uniserve) customizing for stateful bidirectional streaming, multi-rate agentic control loops, and fast model hot-swapping in real-world robotics deployments. Conduct end-to-end performance analysis, profiling, and optimization across the entire sensory-to-action loop, from on-robot sensor ingestion, transport, and real-time execution handoffs to KV-cache management, graph compilation, and accelerator inference for cutting-edge robotics foundation models.
Partner closely with research scientists, hardware/control engineers, and organizational partner teams to co-design agentic harnesses, streaming APIs, and closed-loop deployment workflows that provide flexibility and reliability across various robotics applications.
Job description provided by Google.
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