AI-powered sidewalk delivery robots for last-mile logistics
Serve Robotics operates autonomous delivery robots deployed across major U.S. markets under multi-year contracts, including a 2,000-unit agreement with Uber Eats. The tech stack reveals a hardware-centric ML engineering org: NVIDIA Jetson + PyTorch + TensorRT for on-device inference, C++ for embedded systems, and cloud infrastructure (AWS, GCP, Kubernetes) for fleet orchestration and a petabyte-scale data platform. Hiring is operations-heavy (25 ops roles) with accelerating velocity—a signal the company is transitioning from pilot-phase robotics to scaled commercial deployment, where reliability and operational overhead dominate the roadmap.
Serve Robotics designs and deploys autonomous sidewalk delivery robots for commercial logistics. Spun off from Uber in 2021, the company has completed tens of thousands of deliveries and operates multi-year contracts with enterprise logistics partners. The product is a low-emissions alternative to traditional last-mile delivery, with scalable deployment infrastructure across multiple U.S. markets. The business is operations-driven: active projects span fleet reliability, operational runbooks, endpoint security, and test methodologies for autonomous systems. The hiring mix (51–200 employees, accelerating recruitment across ops, engineering, and data) reflects the shift from prototype validation toward field-scale operations.
NVIDIA Jetson, PyTorch, and TensorRT for on-device AI; C++ for embedded systems; AWS and GCP for cloud infrastructure; Kubernetes and Docker for fleet orchestration; React and TypeScript for internal tools.
Headquarters in Los Angeles, CA. Commercial deployments across multiple U.S. markets under contract with Uber Eats and other enterprise partners. Recruiting in the United States, Canada, Malaysia, and Sweden.
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Serve Robotics's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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