Jobs at May Mobility

Leads full-stack and infrastructure engineering teams responsible for simulation platform architecture, cloud infrastructure, container orchestration, databases, APIs, frontend tools, reliability, observability, and cost efficiency. Owns the strategic roadmap for scenario management, run orchestration, taxonomy, and results analytics. Recruits and mentors engineers, partners with simulation teams, manages integration interfaces, and delivers scalable infrastructure for massive parallel batch simulations.

Own performance of a real-time autonomous vehicle behavior-planning pipeline, including latency, throughput, memory usage, thread safety, profiling, optimization, concurrency, benchmarking, telemetry, and performance regression prevention. Partner with autonomy teams to design low-overhead C++ interfaces and execution guardrails.

Lead systems integration and validation for the Next Gen Autonomous Driving Kit, aligning software, hardware, and product requirements. Produce polished requirements/specifications, define verification metrics, perform FMEA, resolve cross-functional trade-offs, and coordinate with OEM partners to ensure platform performance and regulatory compliance.

Supports autonomous vehicle fleet operations at site locations by implementing vehicle upfits, debugging electrical and mechanical systems, calibrating sensors, testing features, maintaining mapping assets, performing preventative maintenance, and deploying autonomous technology. The role also acquires vehicle data, documents issues, coordinates resolutions with engineering teams, and ensures safe, comfortable, demo-ready vehicle operation.

Leads technical projects and cross-functional teams solving complex autonomous-driving problems. Responsibilities include analyzing data, clarifying requirements, prioritizing technical work, mitigating risks, tracking project status, and coordinating across autonomy, vehicle engineering, software, product, finance, and operations. The hybrid role is based in Ann Arbor, Michigan, with occasional travel to operational sites.

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.

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.

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.