AI robotics platform for industrial production environments
Tutor builds software that lets industrial robots perceive, learn, and operate autonomously alongside human workers. The stack—C++, Python, React, Kubernetes, plus CAD tools (Onshape)—reflects a hardware-software integration challenge, while active projects span motion planning, robot speed optimization, and autonomy stack integration. Engineering dominates hiring (25 roles across mid to lead levels), but pain points reveal bottlenecks: protecting robot uptime, hardware-software integration delays, and motion-planning efficiency—the kind of operational friction typical of early-stage robotics companies scaling from lab to production floor.
Notable leadership hires: Brand Lead, Head of Finance
Tutor develops AI and robotics software for complex industrial manufacturing environments. The product centers on giving robots visual perception, learned behavior, and collaborative decision-making so they can operate in unstructured, real-world production settings alongside human teams. The company is based in Watertown, Massachusetts, and operates as a privately held firm with 51–200 employees. Hiring is concentrated in the United States, with roles spread across engineering, marketing, sales, support, operations, research, data, and finance—typical of a product-stage robotics company ramping customer deployments.
Core languages: C++ and Python. Infrastructure: Linux, Docker, Kubernetes, Git. Frontend: React and TypeScript. Robotics-specific: Onshape (CAD). Data: Apache Airflow, SQL, Looker, Tableau, Metabase. Sales/ops: HubSpot, Salesforce, Apollo, SalesLoft, Outreach.
Watertown, Massachusetts. All active hiring is in the United States.
Other companies in the same industry, closest in size