Jobs at May Mobility

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.

Leads the technical direction of an autonomous vehicle perception stack. Responsibilities include architecting scalable perception systems, developing scene detection and runtime activation, improving robustness against sensor degradation and adverse weather, integrating multimodal models, managing ML and data pipelines, monitoring field performance, leading testing and feature delivery, and mentoring engineers. Requires strong robotics, computer vision, machine learning, real-time systems, software architecture, and team leadership experience.

Lead definition, optimization, and validation of next-generation autonomous vehicle capabilities. Define and manage system-level requirements, design scenario-based tests in simulation and on-road, analyze real-world and simulation data, close coverage gaps, build KPI-driven reporting, and drive continuous improvement across cross-functional teams to ensure compliance with industry standards and robust validation coverage.

Responsible for month-end close, account reconciliations, adjusting journal entries, and financial statement support. Researches transactions and ensures proper US GAAP/ASC 606 treatment. Partners with vendors and cross-functional teams on inventory and bill-of-materials tracking, supports audits, improves ERP processes, and provides analytical forecasting, reporting, and internal controls support.

Lead vision, strategy, and technical roadmap for Behavior & Controls. Drive advances in MPDM, data-driven policies, simulations, learned reward functions, and control. Manage and grow engineering teams, set KPIs, coordinate cross-functionally, triage production issues, and deliver autonomy performance improvements.

Investigate fleet issues and perform root-cause analysis using vehicle logs; curate datasets; create and run simulation scenarios; report findings to autonomy teams; build documentation and knowledge base; support testing and escalation to improve AV safety and functionality.

Design end-to-end in-vehicle and vehicle-to-cloud communication architectures, including Ethernet, CAN/CAN-FD, LIN, and TSN. Architect OTA, telematics, SOA and middleware (Classic/Adaptive AUTOSAR, SOME/IP), ensure functional safety and cybersecurity compliance, evaluate trade-offs, perform FMEA, and collaborate with systems, software, and OEM partners to deliver secure, scalable AV communication systems.

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.

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.

Lead development of a platform-agnostic vehicle controls abstraction layer and Interface Control Documents. Design and validate control algorithms for brake, steer, throttle, and body controls with emphasis on rider comfort, simulation and HIL testing, energy management, functional safety, and vehicle dynamics. Provide technical leadership, mentor junior engineers, perform FMEA, and collaborate with systems, architects, and OEM partners to integrate ADK across vehicle platforms.

Monitor and support autonomous vehicles in real time, enforce safety protocols, log performance and incidents, coordinate technical resolutions with engineers, train and coach vehicle operators, collect and report autonomy feedback, interact with the public, and support site logistics and metrics to improve operations.

As the SMS Lead, you own and operate the Safety Management System, aligning safety objectives with regulations, monitoring safety performance, coordinating incident reporting and compliance, and fostering a safety culture across the organization.

Lead architecture and scaling of the AV simulation engine, develop high-fidelity vehicle dynamics and multi-body physics, integrate rendering and sensor-simulation, ensure determinism and performance, own unified evaluation metrics backend, collaborate with HiL partners, lead design/code reviews, and mentor engineers.

Lead and scale simulation operations team to create, tag, execute, and QA simulation scenarios and test suites. Build evaluation metrics, synthesize results into actionable reports, and integrate AI/LLM tools and automation to accelerate scenario generation, bug triage, and reporting for autonomy stakeholders.

Lead cross-functional technical teams to define, prioritize, and deliver autonomy-related projects. Analyze data to root-cause issues, clarify fuzzy requirements, manage risks, track status, and communicate technical concepts to technical and non-technical stakeholders. Coordinate across autonomy, vehicle engineering, software, product, finance, and operations in a hybrid role with occasional site travel.

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.

Lead the companys autonomous vehicle safety compliance by owning regulatory engagement, NHTSA/SGO submissions, gap analyses against federal/state requirements, and maintaining compliance documentation. Advise Safety and Legal leadership, support incident reviews and investigations, coordinate external counsel, and operationalize federal safety standards and industry best practices into internal processes.

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 Robotics Engineer II will train, integrate, and test machine learning models for autonomous vehicles, optimize software, conduct vehicle tests, and diagnose issues, among other responsibilities.