Lead Vehicle Controls and Interface Engineer
Job description
About the Role
This role defines the controls interface strategy for May Mobility's vehicles, requiring the hired expert to create portable communication pathways and own end-to-end behavioral implementation from initial concept through final validation. Daily choices made by this engineer directly influence rider comfort and the ongoing refinement of vehicle dynamics, shaping the passenger experience. The individual will master automotive network topologies, ensuring that the intricate dance between hardware and software operates seamlessly and predictably. A primary focus involves developing control algorithms with significant attention to body operations, braking, steering, and throttle management to elevate comfort and reliability. This position demands a system-level understanding of May Mobility's products to support cross-functional engineering initiatives and ensure cohesive product development. Collaboration with systems engineering teams and OEM platform partners is critical to aligning controls interfaces and establishing a robust technical foundation. You will guide the debugging process for physical prototypes, resolving complex issues that arise during integration and testing. Leading Failure Modes and Effects Analysis tracking for safety-critical components until resolution is essential to maintaining the highest standards of safety and performance.
Key Facts
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Location: USA
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Engagement: Full-time
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Compensation: $129,900.00 per year
What you'll do
You will architect logic that is independent of the underlying chassis, ensuring the Autonomous Driving Kit integrates smoothly with diverse foundational platforms and legacy systems. A core duty involves drafting Interface Control Documents to synchronize base vehicle components with the software layers of autonomy, powertrain, and telematics for consistent communication. Developing control algorithms is a primary focus, with significant attention given to body operations, braking, steering, and throttle management to enhance rider comfort and system responsiveness. You will master automotive network topologies, including CAN-FD and automotive Ethernet, while applying expertise in embedded C/C++ and functional safety standards to build robust solutions. Your work will involve designing Design Verification Plans and validating algorithms through simulation and hardware-in-the-loop testing to ensure real-world viability. You will also guide the debugging process for physical prototypes, analyzing data to identify root causes and implement effective corrections. Integrating energy management considerations into control strategies and interface designs is essential for optimizing efficiency and performance. Setting vehicle dynamics targets and verifying performance throughout the development lifecycle will define your impact on vehicle handling and stability. You will apply a system-level understanding of May Mobility's products to support cross-functional engineering initiatives and drive project success. Collaboration with systems engineering teams and OEM platform partners is critical to aligning controls interfaces and ensuring seamless integration. You will also lead Failure Modes and Effects Analysis tracking for safety-critical components until resolution, documenting findings and driving corrective actions. Defining and maintaining the architecture for abstracted control signals will reduce complexity and improve long-term maintainability. You will contribute to the creation of technical specifications that clarify system behavior for internal and external stakeholders.
Requirements
You must have experience building platform-agnostic abstraction layers for vehicle control systems to ensure flexibility and scalability. The ability to create and maintain Interface Control Documents for reliable communication pathways is mandatory for project success. You will craft control algorithms for body, brake, steer, and throttle, prioritizing rider comfort and adherence to safety standards. A deep knowledge of CAN FD, automotive Ethernet, FlexRay, C/C++, and functional safety standards is required to navigate complex automotive environments. You will build Design Verification Plans and validate algorithms using simulation and hardware-in-the-loop methods to confirm theoretical models. Integrating energy management thinking within control logic and interface choices is a standard expectation that influences decision-making. You will establish and verify vehicle dynamics targets throughout the development process to ensure performance goals are met. Utilizing system-level knowledge to support cross-team engineering projects is expected to foster collaboration and innovation. You will work with systems engineering groups and OEM partners to align interface standards and resolve technical discrepancies. Leading FMEA tracking and resolution for controls and interface elements is a core function to mitigate risks and enhance product safety. You must demonstrate the ability to work effectively in a fast-paced environment where priorities evolve based on project needs. Strong written and verbal communication skills are necessary to convey technical concepts to diverse engineering teams. A commitment to following documented procedures and maintaining detailed records is essential for compliance and traceability. You must be comfortable working with hardware prototypes and iterative testing cycles to refine system performance.
Nice to have
Experience with simulation tools and model-based design approaches is preferred for candidates looking to accelerate development workflows.
Skills and Tools
Familiarity with May Mobility, the Autonomous Driving Kit, Multi-Policy Decision Making, CSV, JSON, CAN, and AUTOSAR is valuable for integrating into the existing ecosystem.
Practical Notes
Please What you'll do
- Meet the bar About the company
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.