Teams at May Mobility

Design, operate, and scale ML data and training pipelines for autonomous driving. Build distributed training, orchestration, CI/CD and infrastructure-as-code; maintain data/metadata stores and tooling to support large-scale model training and evaluation across cloud and cluster environments.

Lead cross-functional program management for one or more autonomous vehicle platforms. Set timelines, manage budgets, identify dependencies and risks, coordinate stakeholders across Safety, Engineering, Autonomy, Manufacturing, Quality and Operations, and drive programs from product definition through launch while prioritizing safety and quality.

Lead a team of safety engineers to define and execute AV safety strategy across development, simulation, testing, and deployment. Apply UL4600/ISO standards, develop safety cases, set safety metrics (SPI), manage safety plans and artifacts, train engineers, and coordinate with partners and stakeholders to validate ML models and ADS integration for safe public-road operation.