Lead Vehicle Controls and Interface Engineer

Responsibilities

• Develop and maintain a platform-agnostic controls abstraction layer for the Autonomous Driving Kit (ADK)
• Create and maintain Interface Control Documents (ICDs) for seamless communication between vehicle components and software
• Spearhead development of control algorithms for body controls, brake, steer, and throttle
• Apply expertise in automotive network topologies (CAN-FD, automotive Ethernet, FlexRay) and embedded software
• Define Design Verification Plans (DVP&R) and validate algorithms via simulation and hardware-in-the-loop (HIL) testing
• Integrate energy management into control strategies and interface design
• Establish and verify vehicle dynamics targets
• Provide technical leadership and mentorship to junior engineers
• Perform FMEA analysis and track findings to resolution

Requirements

• Bachelor’s Degree in Electrical Engineering, Mechanical Engineering, Controls, Robotics, or a related field
• 8+ years of experience in vehicle controls, embedded controls, or related automotive engineering
• Experience developing and deploying control algorithms for brake, steer, and throttle functions
• Proficiency in embedded programming (C/C++) for real-time systems
• Deep expertise in control systems, control theory, and vehicle dynamics
• Proficiency with simulation and model-based design tools
• Working knowledge of vehicle networking (CAN, automotive Ethernet)

Preferred Qualifications

• Master’s or PhD in Controls, Mechanical/Electrical Engineering, or Robotics
• Experience abstracting vehicle controls across multiple platforms or supporting OEM programs
• Knowledge of LIDAR, radar, and autonomous vehicle technologies
• Experience in Machine Learning, Robotics, or working in a startup environment

About the Company

May Mobility is transforming cities through autonomous technology to create a safer, greener, and more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles powered by innovative Multi-Policy Decision Making (MPDM) technology.