AI-powered robots programmed by demonstration, designed and assembled in the US
Standard Bots manufactures AI-powered robots controlled through human demonstration rather than code, eliminating the programming barrier that locks out smaller manufacturers. The stack spans embedded systems (STM32, C++, FreeRTOS), robotics middleware (ROS 2, MoveIt), and ML inference (PyTorch), with active refactors and motion-planning work suggesting a shift toward more adaptive, real-time control. Hiring velocity is accelerating across engineering (29 roles) and manufacturing (8), while pain points cluster around production quality, deployment reliability, and QA — typical signals of a hardware-software company scaling from prototype to production.
Standard Bots builds and assembles AI-powered robots in Glen Cove, New York for industrial and commercial automation. The core differentiator is demonstration-based programming: operators teach robots through direct manipulation rather than writing code, allowing the platform to collect high-quality training data and adapt to changing conditions in real time. The company targets manufacturers and businesses of all sizes seeking faster, simpler robot deployment. With 11–50 employees and 54 open roles across engineering, manufacturing, and sales, the company is in rapid scaling mode, addressing core challenges in production quality control, hardware reliability, and QA systems.
Embedded: STM32, C++, FreeRTOS. Robotics: ROS 2, MoveIt. ML: PyTorch. Backend: Node.js, TypeScript, GraphQL, PostgreSQL. Infrastructure: Kubernetes, Docker, GCP, AWS. Frontend: React. Office: HubSpot, Salesforce, Google Workspace, Slack.
Motion planning, robotic manipulation, platform refactors, real-time production visibility, core manufacturing systems (MRP/MES, inventory, work orders), reliability infrastructure, QA automation, and end-to-end supply chain optimization for hardware components.
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