Autonomous mobile robots for restaurant and hospitality operations
Bear Robotics manufactures and deploys autonomous mobile robots (AMRs) for food-service and hospitality environments. The tech stack—ROS, C++, TensorFlow, OpenCV, and SLAM algorithm work—reflects a hardware-software integration company; the hiring mix (engineering-heavy, with distributed sensor and autonomous control roles) and active projects (autonomous control systems, SLAM, sensor drivers, next-gen operation software) signal that real-time reliability and sensor robustness remain engineering-blocking constraints. Expansion into Asia (Japan, South Korea, Vietnam hiring) and ongoing M&A integration planning suggest a scaling phase beyond initial US market footprint.
Bear Robotics designs and deploys autonomous mobile robots tailored for restaurant kitchens, dining rooms, and hospitality back-of-house operations. Founded in 2017 and headquartered in Redwood City, California, the company operates a 201–500-person organization structured around hardware deployment, software operations, and sales. Products are deployed directly into customer sites with minimal setup friction. The business model combines on-premise robot deployment with cloud-based operation and management software (touch screen interfaces, fleet monitoring via Kafka + gRPC + PostgreSQL backends). Geographic expansion is underway in Japan, South Korea, and Vietnam alongside US channel-sales scaling.
Core robotics: ROS, C++, TensorFlow, Keras, PyTorch, OpenCV. Infrastructure: GCP, AWS, Kubernetes, Kafka, PostgreSQL, MySQL, gRPC. Monitoring: Grafana. Development tools: Jira, Confluence, Slack. Also uses MQTT, Envoy, Ansible, Gazebo simulation.
United States, Japan, South Korea, and Vietnam. Current hiring velocity is accelerating, with a focus on expanding engineering capacity and establishing regional sales and operations teams.
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Bear 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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