{"id":320749,"url":"https://alion.io/job/may-mobility-lead-vehicle-controls-and-interface-engineer","title":"Lead Vehicle Controls and Interface Engineer","company":{"id":11698,"name":"May Mobility","domain":"maymobility.com","url":"https://alion.io/company/may-mobility","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":95,"open_postings":20,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":153,"computed_at":"2026-10-01T05:45:00Z"}},"role":"Robotics","role_family":"Robotics","seniority":"lead","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Ann Arbor, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":180000,"currency":"USD","period":"year","gross":null,"usd_annual":180000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"C++","optional":false},{"name":"Computer Use","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-06-25T15:43:15Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-10-01T13:09:57Z","board_verified":true,"closed_at":null,"days_open":98,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":98},"description":"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.\nOur 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.\nJob Summary\nThe 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.\nEssential Responsibilities\nDevelop and maintain a platform-agnostic controls abstraction layer, defining the interfaces that allow the ADK to integrate efficiently with new vehicle platforms\nDevelop and maintain Interface Control Documents (ICDs) to ensure seamless communication between base vehicle components and autonomy, powertrain, and telematics software\nSpearhead the development of control algorithms for body controls, brake, steer, and throttle, prioritizing rider comfort and ride quality\nApply 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\nDefine 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\nIntegrate energy management considerations into control strategies and interface design\nEstablish vehicle dynamics targets and verify performance against them throughout development\nLeverage a system level understanding of our products and technologies to support cross-functional engineering efforts\nCollaborate with systems engineering, system architects, and OEM platform partners to align controls interfaces across programs\nProvide technical leadership and mentorship to junior engineers \nPerforming FMEA analysis, tracking findings to resolution\n\nSkills and Abilities\nSuccess in this role typically requires the following competencies:\nExcellent written, verbal, and presentation skills\nAbility to multitask and adapt to shifting priorities in a fast-paced work environment\nUnderstanding of agile startup and engineering principles and mindset\nDeep expertise in control systems and control theory, with application to vehicle dynamics\nProficiency in embedded software development for real-time control systems\nProficiency with simulation and model-based design tools for control development and validation\nExperience designing abstraction layers or portable interfaces across hardware platforms\nWorking knowledge of vehicle networking and E/E architecture, such as CAN and automotive Ethernet\nCuriosity to learn and desire to improve\nPassionate about self-driving cars and their impact on the world\nStrong working knowledge of ADAS/Autonomous Vehicle systems\nQualifications and Experience\nCandidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:\nRequired\nBachelor’s Degree in Electrical Engineering, Mechanical Engineering, Controls, Robotics, or a related field from an accredited university\n8+ years experience in vehicle controls, embedded controls, or related automotive engineering working on combined hardware/software products\nExperience developing and deploying control algorithms for vehicle functions, such as brake, steer, and throttle\nProficiency in embedded programming, such as C/C++, for real-time systems\nDesirable\nA Master’s or PhD in Controls, Mechanical/Electrical Engineering, Robotics, or equivalent experience\nExperience abstracting vehicle controls across multiple platforms or supporting OEM platform programs\nKnowledge of autonomous vehicle technologies, such as LIDAR, radar, ethernet, and CAN\nExperience in Autonomous Vehicles, Machine Learning, and Robotics\nExperience working in a startup\nPhysical Requirements\nStandard office working conditions which includes but is not limited to:\nProlonged sitting\nProlonged standing\nProlonged computer use\nMay require periodic work in a vehicle, laboratory, or test environment\nTravel required? - Minimal to Moderate: 5%-15%\nBenefits and Perks\nComprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate. \nHealth Savings and Flexible Spending Healthcare and Dependent Care Accounts available.\nRich retirement benefits, including an immediately vested employer safe harbor match.\nGenerous paid parental leave as well as a phased return to work. \nFlexible vacation policy in addition to paid company holidays.\nTotal Wellness Program providing numerous resources for overall wellbeing \nDon’t meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we’re committed to building a diverse, inclusive, and authentic workforce, so if you’re excited about this role but your previous experience doesn’t align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.\nWant to learn more about our culture & benefits? Check out our website!\nMay Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know.\nNote to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.\nSalary Range\n$150,000—$180,000 USD\nMay Mobility uses automated tools to support - but not replace - human judgment in our recruiting process, to find out more please click here","description_format":"text","description_chars":7738,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Flexible vacation policy","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Public Transport","Autonomous Driving","Smart Mobility"],"lifecycle":[{"event":"open","at":"2026-09-05T16:33:51Z"}],"liveness":{"score":74,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.821,"p_room":0.9,"age_days":97,"expected_fill_days":153,"reasons":["conf:5","win:mid"],"computed_at":"2026-10-01T05:45:00Z"},"pay":{"stated_usd_annual":180000,"is_top_pay":false},"html_url":"https://alion.io/job/may-mobility-lead-vehicle-controls-and-interface-engineer","json_url":"https://alion.io/job/may-mobility-lead-vehicle-controls-and-interface-engineer.json","meta":{"generated_at":"2026-10-02T00:34:46Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":529,"day_limit":5000,"remaining_today":4471,"minute_limit":60,"resets_at":"2026-10-03T00:00:00Z"}}}