Autonomous robots for truck and container unloading
Pickle Robot builds physical AI systems that autonomously unload trucks, trailers, and containers at human-scale throughput. The stack reveals a production robotics operation: ROS 2, NVIDIA hardware (Orin, Jetson), PyTorch, and computer vision (YOLO, Mask R-CNN) for perception; motion planning and edge inference dominate the active project list. Engineering-heavy hiring (13 of 16 open roles) skews senior, with motion planning and software architecture bottlenecks surfacing as the company scales from single-robot deployments to fleet operations.
Pickle Robot designs and deploys autonomous unloading systems for logistics and supply chain operations. Founded in 2018 and based in Boston, the company operates as a hardware-software integration business: robots equipped with computer vision, advanced sensors, and manipulator arms handle the physical task of removing cargo from vehicles, while human operators focus on exception handling and problem-solving. Revenue comes from customers in the trucking, import, and warehouse sectors seeking to automate high-labor manual unloading tasks. The company runs 51–200 employees, hiring exclusively in the United States.
Core: ROS 2, C++, Python, PyTorch. Perception: YOLO, Mask R-CNN, OpenCV. Hardware: NVIDIA Orin, Jetson, sensors. Cloud/edge: AWS, GCP, Docker, TensorRT, ONNX Runtime. Tooling: Jira, Altium, KiCAD, Onshape, Tulip, NetSuite.
Scalable multi-robot software architecture, motion planning for warehouse automation, autonomous navigation and mobility controls, vision model deployment and edge inference, manipulator arm algorithms, electrical system design, and operator-facing applications.
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Pickle Robot Company'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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