May Mobility Tech Stack

Autonomous vehicle technology for ride-hail and transit operations

Urban Transit Services Ann Arbor, MI 201–500 employees Founded 2017 Privately Held

May Mobility operates a deployed autonomous vehicle platform with over half a million rides delivered across 24 deployments in the U.S. and Japan, including driverless operations in three states. The tech stack is weighted heavily toward perception and safety (PyTorch, TensorFlow, LiDAR, GNSS, ISO 26262, FMEA) rather than cloud infrastructure, and hiring is engineering-dominant with a notable focus on mapping, simulation, and operator training—indicating the company is scaling from pilot deployments toward production fleet operations at regional scale.

Tech Stack 22 technologies

Core StackPyTorch TensorFlow Python Pandas NumPy Apache Spark C++ AWS Slack Java C/C++ ISO 26262 FMEA CUDA TPU LiDAR GNSS GTSAM Vector CANoe Vector CANalyzer valgrind gdb

What May Mobility Is Building

◆Challenges

Maintaining safety protocols
Training for autonomous vehicle operators
High-performance integration with autonomy system
Expanding fleet operations
Ensuring operator safety
Scaling autonomous vehicle operations worldwide
Minimizing congestion
Expanding access
Scaling mapping across diverse odds
Encouraging better land use

▲Active Projects

Training program design and implementation
Mapping assets
On-site configuration and deployment of autonomous technology
Next generation mapping and localization stack
Training reference library maintenance
Peer-mentorship program establishment
Production-grade lane and route network mapping stack
Simulation interface and apis
Test new rollouts of vehicle technology
Core simulated test suite development

Hiring Activity

Accelerating50 roles · 35 in 30d

Department

Engineering

Ops

Data

Manufacturing

Executive

Finance

Legal

Product

Seniority

Senior

Mid

Lead

Manager

Director

Staff

Notable leadership hires: Product Director, Tech Lead

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About May Mobility

May Mobility develops autonomous vehicle technology for ride-hail and public transit applications. The company partners with Uber, Lyft, and Grab to operate driverless fleets in multiple U.S. states and Japan. The platform handles real-time perception, localization, and route planning, with active development in mapping stacks, simulation infrastructure, and operator training programs. At 201–500 employees headquartered in Ann Arbor, Michigan, the company is in growth mode, hiring across engineering, operations, and data roles while managing the technical and operational challenges of scaling autonomous operations across diverse regulatory and geographic contexts.

HeadquartersAnn Arbor, MI

Company Size201–500 employees

Founded2017

Hiring MarketsUnited States

Frequently Asked Questions

What technology does May Mobility use for autonomous vehicles?

PyTorch, TensorFlow, LiDAR, GNSS, ISO 26262 safety standards, FMEA, C/C++, CUDA, and GTSAM for perception and localization. Vector CANoe and CANalyzer for vehicle control validation.

Where does May Mobility operate autonomous vehicles?

24 deployments across the U.S. and Japan, with driverless operations in three U.S. states. Over half a million rides delivered to date.

How this profile is built

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 →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.