Lead Vehicle Controls and Interface Engineer

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. Job Summary The Lead Vehicle Controls and Interface Engineer owns the development and abstraction of May Mobility’s vehicle controls interface, enabling the Autonomous Driving Kit (ADK) to be portable across the widest possible variety of vehicle platforms. This role designs and develops the algorithms used to communicate with and control core vehicle functions — body controls, brake, steer, and throttle — while advancing the fidelity of those controls to improve rider comfort. Beyond enabling basic functionality, this role ensures that vehicle dynamics remain a first-class part of active developmen. Success in this role requires expertise in simulation, energy management, and embedded programming, along with the technical leadership to set direction for vehicle controls across current and future platforms. Essential Responsibilities Develop and maintain a platform-agnostic controls abstraction layer, defining the interfaces that allow the ADK to integrate efficiently with new vehicle platforms Develop and maintain Interface Control Documents (ICDs) to ensure seamless communication between base vehicle components and autonomy, powertrain, and telematics software Spearhead the development of control algorithms for body controls, brake, steer, and throttle, prioritizing rider comfort and ride quality Apply deep domain expertise in automotive network topologies (CAN-FD, automotive Ethernet, FlexRay), embedded software (C/C++), and functional safety standards across controls and interface design Define Design Verification Plans (DVP&R); validate control algorithms in simulation and through hardware-in-the-loop (HIL) testing; and lead hands-on debugging of physical prototypes Integrate energy management considerations into control strategies and interface design Establish vehicle dynamics targets and verify performance against them throughout development Leverage a system level understanding of our products and technologies to support cross-functional engineering efforts Collaborate with systems engineering, system architects, and OEM platform partners to align controls interfaces across programs Provide technical leadership and mentorship to junior engineers  Performing FMEA analysis, tracking findings to resolution   Skills and Abilities Success in this role typically requires the following competencies: Excellent written, verbal, and presentation skills Ability to multitask and adapt to shifting priorities in a fast-paced work environment Understanding of agile startup and engineering principles and mindset Deep expertise in control systems and control theory, with application to vehicle dynamics Proficiency in embedded software development for real-time control systems Proficiency with simulation and model-based design tools for control development and validation Experience designing abstraction layers or portable interfaces across hardware platforms Working knowledge of vehicle networking and E/E architecture, such as CAN and automotive Ethernet Curiosity to learn and desire to improve Passionate about self-driving cars and their impact on the world Strong working knowledge of ADAS/Autonomous Vehicle systems Qualifications and Experience Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience: Required Bachelor’s Degree in Electrical Engineering, Mechanical Engineering, Controls, Robotics, or a related field from an accredited university 8+ years experience in vehicle controls, embedded controls, or related automotive engineering working on combined hardware/software products Experience developing and deploying control algorithms for vehicle functions, such as brake, steer, and throttle Proficiency in embedded programming, such as C/C++, for real-time systems Desirable A Master’s or PhD in Controls, Mechanical/Electrical Engineering, Robotics, or equivalent experience Experience abst