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Leads integration testing across an autonomous vehicle software stack, coordinating deliveries, maintaining integration branches, and managing CI/CD pipelines. Designs simulation campaigns, conducts on-vehicle validation, tracks system performance metrics, diagnoses regressions, and coordinates root-cause resolution across perception, planning, and controls teams. The role also contributes software fixes and communicates system health through engineering reports. This is a hybrid Ann Arbor position with travel up to 25%.

Leads the engineering team responsible for autonomous-vehicle trajectory and intent prediction systems. The role guides machine learning and classical robotics architecture, integrates safety metrics and operational design requirements, manages roadmaps and cross-functional delivery, supports root-cause analysis, enforces engineering quality, and develops technical talent. It also requires dashboard and KPI ownership, fleet-data analysis, and collaboration across autonomy, infrastructure, perception, modeling, and remote operations teams.

Leads hardware-in-the-loop and vehicle-level integration testing for autonomous systems. Develops test plans, automated test suites, fault-injection scenarios, and performance analyses; tests sensors, compute modules, vehicle communications, and safety-critical software. Integrates test workflows with AWS, documents anomalies, validates edge cases, and collaborates with software, hardware, systems, and autonomy engineering teams while mentoring team members.

Leads supply chain strategy and operations, including procurement, sourcing, inventory, logistics, supplier relationships, contract negotiation, and cost reduction. Manages purchasing and supply chain teams, oversees shipping and receiving, maintains ERP inventory accuracy, supports manufacturing design reviews, and ensures purchasing compliance. Partners with engineering, finance, accounting, and suppliers to improve quality, availability, scalability, and operational performance.

Integrate hardware, software, and vehicle systems for autonomous driving platforms. Own requirements development, systems integration, validation, verification metrics, FMEA, and cross-functional trade-off resolution. Collaborate with system architects, controls teams, test and validation groups, and OEM partners to ensure platform requirements and performance targets are met. Evaluate regulatory requirements, improve engineering processes, and maintain polished specifications throughout the development lifecycle.

Lead autonomous vehicle deployments at new sites, configuring systems, resolving location-specific technical challenges, representing the company to customers, demonstrating autonomous technology, collaborating on system improvements, and mentoring junior engineers. The role requires hands-on hardware and software experience, Linux proficiency, programming knowledge, autonomous vehicle or mobile robotics experience, vehicle operation, and frequent travel up to 50%.

Build and lead May Mobility’s internal audit function by conducting risk assessments, designing and testing controls, coordinating remediation, supporting SOX and external audits, and advising stakeholders on governance and compliance. The role will establish audit processes, coordinate third-party audit work, deliver internal controls training, manage cross-functional projects, and help define the function’s future resources, methods, and technology enablement.

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.

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.