Build and deploy the robotics perception stack for a field-deployed public transit system. Responsibilities include developing perception, sensor fusion, object detection, localization, and reinforcement learning models; optimizing integrated hardware/software architecture; creating data collection pipelines; improving model performance; identifying software bottlenecks; and shaping the technical roadmap. The role works closely with the founders and requires up to 15% travel to customer sites.

Design and deploy mechanical and electrical interfaces integrating robotic products onto customer vehicles. Lead on-site installations, customer deployments, field debugging, root cause analysis, and rapid solutions across mechanical, electrical, software, and firmware systems. Establish deployment standards and continuous integration workflows to improve reliability and reduce engineering effort for future deployments. The role requires extensive customer-site travel and hands-on field engineering.

Lead development of AI-powered robotics software for field-deployed transit systems. Responsibilities include training and deploying vehicle perception and prediction models, architecting software for perception, tracking, and localization, building data pipelines and validation processes, shipping production updates, and mentoring and recruiting engineers. The role combines hands-on coding with engineering leadership and requires ownership of a scalable robotics platform.