Autonomous vehicle technology for driverless ride-hail and transit
May Mobility develops autonomous driving systems and runs commercial deployments in the U.S. and Japan, including driverless operations. The stack pairs safety-critical automotive tooling (ISO 26262, AUTOSAR, CAN-FD, Vector CANoe) with a full ML training pipeline (PyTorch, DeepSpeed, Ray, Kubeflow, MLflow), and senior-heavy engineering hiring centers on a next-gen mapping, sensor and autonomy kit.
Notable leadership hires: Tech Lead, Autonomy Director
May Mobility is an Ann Arbor, Michigan–based autonomous vehicle company founded in 2017 and privately held. It builds self-driving technology that makes driving decisions in real time and operates vehicles across multiple deployments in the U.S. and Japan, with driverless service running in three states. The company works with ride-hail platforms including Uber, Lyft, and Grab to offer autonomous rides to communities. It employs 201–500 people, and its hiring is focused in the United States.
May Mobility uses C++, Go, Python, Kubernetes, Terraform and AWS, along with PyTorch, Ray, Kubeflow, Airflow and MLflow for ML. Its vehicle work relies on AUTOSAR, CAN-FD, Automotive Ethernet and Vector CANoe.
Yes. Engineering accounts for most of May Mobility's open roles, which skew toward senior and director levels, including Autonomy Director and Tech Lead positions. All hiring is in the United States.
Its job posts point to a next-generation mapping and localization stack, a new sensor suite, a next-gen autonomous driving kit, ongoing MPDM development and deployment, and system integration and validation work.
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May Mobility's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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