Jobs at May Mobility

Lead a quality systems team responsible for designing, automating, and continuously improving a Quality Management System across the autonomous vehicle lifecycle. Establish design controls, verification and validation, change management, CAPA, root cause analysis, traceability, quality KPIs, and supplier corrective actions. Partner with engineering, autonomy, fleet operations, and support teams to connect field issues to product improvements. Build scalable quality processes using workflow automation, AI, and LLM tools.

Leads end-to-end technical release coordination for autonomous vehicle software, aligning engineering, validation, safety, DevOps, deployment, product, and business teams. Owns release readiness, risk and dependency tracking, production incident management, hotfix and commercial release lanes, and remediation through resolution. Establishes closed-loop improvement processes that incorporate incident and root-cause learnings into future planning and validation. Creates program artifacts, communicates technical issues to diverse stakeholders, and drives timely, high-quality delivery.

Oversee autonomous shuttle operations at an assigned site, leading supervisors, technicians, and vehicle operators. Ensure safety, service quality, staffing, reporting, budgeting, performance metrics, and operational reliability. Coordinate with engineers and field operations on technical escalations, training, and technology rollouts. The role requires process improvement, project management, customer communication, shift flexibility, outdoor work, physical activity, and up to 10% travel.

Lead shift-level autonomous vehicle operations, enforce safety and incident protocols, monitor vehicle health, coordinate technical escalations, track performance metrics, conduct audits and drills, train operators, maintain documentation, and support customer and partner experiences. The role serves as the primary shift escalation point, identifies process improvements, and may require weekend, holiday, outdoor, and cross-site work with up to 50% travel.

Coordinate daily autonomous vehicle operations, monitor vehicle health and active trips, enforce safety protocols, track performance metrics, document mechanical issues, support engineering troubleshooting, coach and certify vehicle operators, test software changes, manage incident response, interact with riders, and represent May Mobility. The role may provide cross-site coverage and training and requires outdoor work, flexible scheduling, and occasional travel.

Monitor and support autonomous vehicles during live operations, enforce safety protocols, track site metrics, and report autonomy feedback. Coordinate technical issue resolution with engineering teams, maintain vehicle and incident records, investigate accidents and complaints, and help train AV operators through coaching and ride-alongs. Represent the company to the public, test software changes, and provide coverage at other sites as needed.

The Senior Accountant will manage reconciliations, month-end close activities, accruals, journal entries, vendor invoicing, and accounting documentation. The role supports accounts payable, accounts receivable, payroll, inventory and bill-of-materials tracking, financial statements, audits, expense compliance, internal controls, forecasting, reporting, and system implementations. The position also researches accounting treatment under US GAAP and ASC 606, presents findings to management, and collaborates cross-functionally with finance, supply chain, engineering, vendors, and employees.

The Site Operations Manager will oversee site teams for shuttle operations, ensuring safety, service quality, financial performance, and effective communication with engineers and staff, while handling varying tasks in a dynamic environment.

The Systems Engineer II will support system design and cross-functional engineering efforts, collaborating with test and validation teams to ensure compliance with requirements and specifications.

As a Senior Product Safety Architect, you will define the safety architecture for L4 autonomous systems, ensuring compliance with safety standards and managing risks associated with AI/ML components.

The Senior Autonomy Release Engineer II manages software releases for autonomous vehicles, ensuring safety and performance through system integration, debugging, and collaboration with cross-functional teams.

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.

Monitor and support autonomous vehicles during live operations, enforce safety protocols, track performance metrics, document autonomy feedback, and coordinate technical issue resolution with engineering teams. The role also coaches autonomous vehicle operators, investigates incidents and complaints, tests software changes, maintains operational records, represents the company publicly, and provides coverage at other sites as needed.

The Senior Systems Engineer will facilitate cross-functional engineering efforts, support system design, and collaborate with Japan's team for autonomous vehicle projects. Responsibilities include technical requirements analysis, testing, and continuous improvement initiatives.

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.

The Senior Data Scientist will develop metrics for evaluating autonomous vehicle performance, analyze data, collaborate across teams, and communicate findings to improve safety and passenger experience.

Train, integrate, test, optimize, and monitor machine learning models and autonomy software on autonomous vehicles. Coordinate real-world vehicle testing, diagnose field issues, design data collection strategies, and develop tools and visualizations for analyzing behavior and control subsystem performance. The role requires robotics software development, sensor interface knowledge, Linux programming, and software debugging expertise.

Integrates hardware, software, and product requirements for an autonomous driving platform. Owns systems integration, validation, metrics, requirements specifications, verification criteria, FMEA analysis, and cross-functional trade-off resolution. Partners with system architects, controls teams, test and validation groups, and OEMs while evaluating regulatory requirements and improving engineering processes.

Design, train, and evaluate advanced machine learning models for autonomous driving, simulation, and ML platforms. Lead small cross-functional engineering teams, establish data and experiment practices for petabyte-scale training, address long-tail model failures, and work with multimodal datasets exceeding 100TB. The role requires commercial robotics experience, mentoring capability, expertise in VLA or generative world models, Python/PyTorch, sensor processing, and potentially edge deployment.

Leads architecture and development of production-grade mapping and localization ML systems for autonomous vehicles. Designs neural models for detection, segmentation, tracking, depth estimation, 3D reconstruction, and semantic mapping; owns data strategy, evaluation, deployment, and fleet validation. Mentors engineers, drives technical roadmaps, collaborates cross-functionally, and advances vectorized HD mapping, foundation models, and real-time optimization.