AI-powered sidewalk delivery robots for last-mile food and retail delivery
Serve Robotics builds and operates autonomous sidewalk delivery robots, pairing an embedded stack (C++, RTOS, Embedded Linux, NVIDIA Jetson) with simulation tooling like Isaac Sim, CARLA and Gazebo. Hiring skews toward field operations over engineering, and pain points center on fleet uptime and preventive maintenance, a sign the company is moving from autonomy R&D toward running deployed fleets at scale across new markets.
Serve Robotics develops low-emissions, AI-driven robots that carry deliveries along sidewalks. It was spun out of Uber in 2021 and now trades publicly on NASDAQ, working with enterprise delivery partners. The company is headquartered in Los Angeles, employs 51–200 people, and hires across the United States, Canada and Australia. Its work spans robot hardware and firmware, autonomy models trained on multimodal robotics data, and the field operations needed to deploy and maintain robot fleets in city markets.
Serve Robotics uses C++, Python, RTOS, Embedded Linux and NVIDIA Jetson for robotics, Isaac Sim, CARLA and Gazebo for simulation, GCP for cloud, and React, Vue and TypeScript for web tools.
Yes. Hiring is steady and weighted toward field operations, followed by engineering, with roles in the United States, Canada and Australia spanning junior through VP levels.
Current work includes new market launches, robot deployment management, an autonomy data flywheel, distributed training pipelines for autonomy models, and fleet-level metrics instrumentation.
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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 →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.