AI-powered robotic sorting systems for logistics and fulfillment
Unbox Robotics builds hardware-software systems for warehouse sorting using swarm-intelligence algorithms and embedded robotics. The tech stack is deeply embedded—C/C++, RTOS, ARM processors, ROS, LIDAR—with simulation tools (Gazebo, Webots) for motion planning and control. Engineering dominates hiring (10 of 15 roles), skewing toward mid-level and interns, while pain points center on manufacturability and cost control, signaling a company scaling production of complex electro-mechanical systems rather than pure software.
Unbox Robotics develops UnboxSort, a patented AI-powered sorting system for logistics operators. The product integrates swarm-intelligence algorithms with robotic hardware to automate package sorting, claiming 50% reduction in floor space and 3X productivity gains with installation cycles of weeks. Founded in 2019 and based in Pune, the company operates across mechanical design, control systems, sensor integration, and motion planning. Their customer base spans mid-market and enterprise logistics players in India. The founding team draws from National University of Singapore, University of York, and Indian School of Business, with prior e-commerce operations experience.
Embedded C/C++, ARM Cortex-M4 processors, RTOS, ROS/ROS 2, LIDAR sensors, MATLAB, Gazebo/Webots simulation, and communication protocols (CAN, Modbus, Zigbee, MQTT, TCP/UDP).
Yes. Engineering represents 10 of 15 active roles, with focus on mid-level positions (6), interns (4), and managers (2). Hiring is currently decelerating and limited to India.
Core projects include simulation design for sorting, mechanical design of robots, motion-planning algorithms, sensor integration, control-component selection, and test frameworks for robotic systems.
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