Jobs at May Mobility

Design, build, and maintain scalable real-time and historical data pipelines and libraries; implement APIs, data quality checks, monitoring, and performance-optimized workflows; collaborate with autonomy, platform, and front-end teams to support fleet data analysis and visualization.

Lead cross-functional vehicle development programs, manage timelines, risks, budgets and BOM cost targets, coordinate stakeholders, communicate with partners/customers, champion safety and quality, and drive continuous improvement for autonomous vehicle platforms.

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 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.

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.

The Director of System Safety oversees safety functions for autonomous vehicles, managing safety cases, deployment plans, and regulatory relationships while leading a multi-disciplinary safety team.

The Director of Data Science will lead data-driven initiatives for autonomous vehicle services, overseeing ML evaluations, analytics, and strategic data science objectives. They will manage a team, collaborate with engineering and operations, and ensure high standards in data measurement and experimentation.

Provide hands-on legal support across commercial contracting, compliance, regulatory affairs, data privacy, and corporate matters for autonomous vehicle operations. Draft and negotiate supplier and commercial agreements, build compliance programs, advise cross-functional teams, manage outside counsel, monitor regulation, and support transactions and board matters.

The Lead Machine Learning Engineer will design and evaluate models for autonomous driving systems, mentor junior engineers, and utilize large datasets to improve ML capabilities at May Mobility.

The Director of Product Engineering will oversee product development, strategy, and marketing for autonomous vehicles, ensuring a competitive edge and managing a team of product managers.

Lead the internal audit function, enhance control frameworks, conduct risk assessments, manage audit processes, and collaborate with stakeholders to improve internal controls and compliance.

Lead perception vision, strategy, and roadmap for AV perception. Drive advances in detection, classification, tracking, fusion, and prediction; design sensor suites; define KPIs; hire and manage engineering teams; coordinate cross-functional deployment and issue resolution to ensure robust commercial autonomy performance.

Embed security across the product lifecycle for autonomous vehicles: perform threat modeling, TARA/HARA, SBOM/HBOM management, secure architecture and network hardening, support compliance (ISO/SAE 21434, UNECE WP.29, UL4600), assist vulnerability management and secure update strategies, and collaborate with hardware, firmware, and software teams to drive mitigations and audits.

Lead the design, implementation, and testing of robotics software for autonomous vehicles, ensuring safe control and behavior. Collaborate with teams, conduct tests, and provide technical guidance.