Teams at May Mobility

Supports on-site configuration, deployment, troubleshooting, and demonstrations of autonomous vehicle technology. Scouts locations, resolves traffic-environment challenges, represents the company to customers and the public, and collaborates with engineers to expand system capabilities and improve rider experiences. The role requires hands-on hardware and/or software experience, bilingual English and Japanese communication, vehicle operation, and frequent travel.

Leads integration testing across an autonomous vehicle software stack, coordinating deliveries, maintaining integration branches, and managing CI/CD pipelines. Designs simulation campaigns, conducts on-vehicle validation, tracks system performance metrics, diagnoses regressions, and coordinates root-cause resolution across perception, planning, and controls teams. The role also contributes software fixes and communicates system health through engineering reports. This is a hybrid Ann Arbor position with travel up to 25%.

Leads the engineering team responsible for autonomous-vehicle trajectory and intent prediction systems. The role guides machine learning and classical robotics architecture, integrates safety metrics and operational design requirements, manages roadmaps and cross-functional delivery, supports root-cause analysis, enforces engineering quality, and develops technical talent. It also requires dashboard and KPI ownership, fleet-data analysis, and collaboration across autonomy, infrastructure, perception, modeling, and remote operations teams.