Teams at Tutor Intelligence

Own the software infrastructure supporting robot data collection and experimentation. Build robot-side and backend services, data pipelines, telemetry, deployment systems, and operator tools. Improve observability, reliability, testing, recovery, and rollback while diagnosing failures across devices, Linux, networking, concurrency, and storage. Collaborate with researchers and operators to prioritize improvements, document systems, and deliver durable fixes that increase experiment throughput and data quality.

Designs and owns complex mechanical subsystems for AI robots, including mechanisms, end effectors, fixtures, mounts, enclosures, and sensor assemblies. Responsibilities span requirements definition, CAD, calculations, prototyping, fabrication, integration, validation, failure analysis, documentation, and reliability improvements. The role collaborates with electrical, software, and research teams to deliver repeatable, maintainable robotic hardware builds.

Build and deploy computer-vision perception systems for robot manipulation. Responsibilities include detection, segmentation, tracking, pose estimation, 3D scene understanding, camera calibration, dataset creation, evaluation, model selection, and diagnosing failures on physical robots. The role requires close collaboration across research, software, mechanical, and electrical engineering teams, plus maintaining reliable, measurable, and diagnosable perception systems.