--- title: 'Director, Autonomy Perception at May Mobility' canonical: 'https://feeny.ai/job/director-autonomy-perception-may-mobility-united-states-0x8k0j884kgp' type: 'job' last_seen: '2026-09-11' --- # Director, Autonomy Perception at May Mobility - **Company:** May Mobility - **Location:** United States - **Compensation:** $220k–$300k - **Work type:** remote - **Posted:** 2026-07-13 - **Last confirmed live:** 2026-09-11 - **Apply:** https://job-boards.greenhouse.io/maymobility/jobs/8631724002 ## Job 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. 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 Director of Perception will be responsible for leading the vision, strategy, and technical roadmap of the Autonomy Perception team at May Mobility.  The Director of Perception plays a key role in advancing May’s core autonomy software stack, ensuring that May’s unique, innovative MPDM architecture operates on high quality data from sensors and sensor processing algorithms. This is a unique opportunity to sit at the crossroads of cutting-edge autonomous driving technology, transformative mobility, and the products that enable change in the transportation landscape of cities today. This position reports to the Sr. Director of Autonomy and is responsible for providing world class leadership to our autonomy engineering managers and engineers, in order to propel their professional success as they develop industry-leading technology advancements. Essential Responsibilities - Be a technical thought leader to champion May Mobility’s mission, vision, values and company priorities to develop and execute autonomy strategy with fellow executives and engineering leaders. - Work cross-functionally with Vehicle Engineering, Product, and Operations leaders to solve and deploy solutions to autonomy perception challenges. - Deliver innovative and robust advances to May’s perception technology including measurable improvements to object detection, classification, tracking, and prediction. - Ensure May’s core perception technologies operate efficiently and effectively in commercial deployments, including supporting effective triage and resolution of issues related to this technology. - Maintain an understanding of related research fields including machine learning, end-to-end learned systems, tracking systems, multi-sensor fusion, and behavior prediction. - Lead design and specification of next-generation sensor suites to maximize May’s perception system performance and optimize cost.  Work with systems and hardware teams to support prototyping and evaluating future systems. - Develop and maintain key performance indicators (KPIs) to track autonomy performance - Identify key gaps and challenges in May’s autonomy perception technology. - Construct and execute a roadmap to solve key challenges and work with other autonomy leaders to synchronize this roadmap with the roadmaps of other functions. - Identify monthly, quarterly and yearly milestones to iteratively improve performance in both the short and long term. - Take responsibility for the overall planning, execution, and success of complex technical projects and provide the team with technical leadership. - Help set perception team hiring targets. Interview, hire, and manage a diverse team of talented perception engineers and scientists. - Oversee the escalation of critical issues and opportunities within the autonomy team’s leadership, driving clear recommendations to maximize the effectiveness of the team with respect to company priorities and strategy. ## Skills and Abilities Success in this role typically requires the following competencies: - Deep technical knowledge and demonstrated success in delivering innovative solutions in one or more of the fields of multi-sensor fusion, object detection, scene segmentation, tracking, and behavior prediction. - A demonstrated strong attention to detail with the ability to understand, track, and efficiently mitigate technical, integration, and personnel risks. - Demonstrated success in working in uncertain work environments with an ability to turn concepts and problems that are uncertain into effective, executable plans to resolve these issues. - A proven ability to get the best out of others, set goals and expectations for others, communicate clearly and honestly, and discuss difficult topics. - An ability to clearly and concisely communicate technical concepts including root cause analysis, technical challenges and their solutions, and results backed by data. - Proven ability to work with other peers in related technical areas to jointly solve larger system issues. - Proven ability to deliver under tight schedules. ## Qualifications and Experience Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience: Required - 10+ years of engineering experience - PhD or masters degree in a relevant, highly technical field (e.g. robotics, computer science, computer engineering, aerospace engineering, physics) - A demonstrated ability to solve complex autonomy problems as a principal investigator, staff or principal engineer, or director (or equivalent role) - 7+ years of software-focused engineering experience solving challenging robotics problems in mission critical software and/or robotic systems. - Experience leading a team of 10+ engineers - setting goals, leading by example, handling challenging situations and failures - Previous experience as individual contributor successfully developing and deploying innovative solutions in the autonomous vehicle or related space Desirable - 5+ years of management experience - Experience developing and/or using MPDM - Previous experience growing a team, crafting hiring plans, designing and conducting interviews, reviewing candidates, and making hiring decisions - Deep understanding of the challenges facing autonomous vehicles as well as the state of the art in autonomy. - Previous startup experience Physical Requirements - Standard office working conditions which includes but is not limited to: - Prolonged sitting - Prolonged standing - Prolonged computer use - Travel required? -  Moderate: 11%-25% ## Benefits and Perks - Comprehensive 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. - Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available. - Rich retirement benefits, including an immediately vested employer safe harbor match. - Generous paid parental leave as well as a phased return to work. - Flexible vacation policy in addition to paid company holidays. - Total Wellness Program providing numerous resources for overall wellbeing Don’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. Want to learn more about our culture & benefits? Check out our [website](https://maymobility.com/careers/)! May 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. Note 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. Salary Range $220,000—$300,000 USD May Mobility uses automated tools to support — but not replace — human judgment in our recruiting process, to find out more please click [here](https://drive.google.com/file/d/1eGgErDdZ99HVoyxBrVpVUjhdUcmKogki/view?usp=drive_link) ## About May Mobility ## Company Overview - **One-liner**: May Mobility develops and deploys autonomous vehicle (AV) shuttle and robotaxi services powered by its proprietary Multi-Policy Decision Making (MPDM) AI system to provide safer, greener, and more accessible transit. - **Entity Type**: Private (Series-stage not confirmed; total funding $392.6M across 12 rounds) - **Headquarters**: Ann Arbor, Michigan, United States - **Founded**: 2017 - **Founders**: Dr. Edwin Olson, Alisyn Malek, Steve Vozar ## Core Business - **Primary industry**: Urban Transit Services / Autonomous Vehicle Technology - **Target customers**: B2G (municipalities, transit agencies), B2B (ride-hail partners like Uber and Lyft, enterprise fleets), and B2C (direct rider services) - **Mission**: “To reimagine transportation by developing and deploying autonomous vehicles that get people where they need to go safely, easily and with a lot more fun.” ## Products & Services - **Autonomous Shuttle Services**: Deployed autonomous shuttles in multiple U.S. cities (e.g., Atlanta, Grand Rapids, Minnesota, Arlington) and Tokyo Bay, Japan. These shuttles operate on fixed or dynamic routes and have completed over 500,000 paid rides. - **Multi-Policy Decision Making (MPDM) System**: A proprietary real-time, reinforcement-learning AI algorithm that learns and reacts to new driving scenarios every 200 milliseconds, enabling safe handling of unpredictable situations without relying on pre-collected training data. - **Ride-Hail Integration**: Strategic partnerships with Uber and Lyft to deploy autonomous vehicle fleets through their respective platforms, making May Mobility vehicles available to a broader rider base. ## Market Standing - **Valuation**: Not publicly disclosed - **Key Metric** (Private company): Total funding of $392.6M (12 rounds); estimated annual revenue $59.2M (source: LinkedIn company profile) - **Notable Investors/Partners**: Toyota Motor North America (strategic partnership and investment), Y Combinator (backed in early stage), and ride-hail partners Uber and Lyft. - **Growth Signals**: - Headcount of 248 employees (+4.7% YoY) with a 38.2% quarterly increase in job postings and an 80.8% yearly increase. - Operations expanded to Japan (Tokyo Bay), Canada, India, UAE, and UK. - Recognized by Y Combinator as a Top Company (2020–2022), Forbes America’s Best Startup Employers (2023), and Frost & Sullivan 2022 North American Market Leadership Award. ## Competitive Advantages - **MPDM Technology**: Unlike rule-based or purely trained-data approaches, MPDM runs endless real-time on-board simulations and learns while driving, making it more adaptable to edge cases and reducing deployment cost and time. - **Safety-First Design**: Combined sensor suite and MPDM platform monitor road and simulate hazards faster and more reliably than competitors, with safety as the top priority. - **Established Real-World Deployments**: Over 500,000 autonomous rides given; partnerships with major ride-hail players (Uber, Lyft) and Toyota signal strong commercial traction. - **Cost Efficiency**: The company claims its system enables AV deployment at “a fraction of the cost and time” compared to traditional approaches. ## Strategic Focus - **Scaling Deployments**: Expanding from current U.S. and Japanese bases into more international markets through partnerships with transit agencies and ride-hail platforms. - **Deepening Technology**: Continuing to advance MPDM, machine learning inference optimization, and edge deployment for AVs, as evidenced by active job postings for ML engineers working on GPU acceleration, TensorRT, and NVIDIA DRIVE OS. - **Partnership Ecosystem**: Leveraging relationships with Toyota, Uber, and Lyft to integrate May Mobility’s AVs into broader mobility networks. - **Talent Acquisition**: Aggressively hiring across engineering, autonomy, and operations (47 active postings as of mid-2026) to support growth and R&D. ## Why Work Here - **Culture & Values**: Emphasis on “Bring your whole self to work,” inclusivity (mayID Inclusion & Diversity group), and four core values: Drive With Purpose, Consider the Bigger Picture, Do What’s Right, Value Personal Relationships. - **Flexibility**: Remote/hybrid option with core hours 10am–4pm EST; monthly stipend for Wi-Fi and cell; home office setup stipend for new hires. - **Work-Life Balance**: Flexible unlimited vacation + 15 paid company holidays; generous paid parental leave with phased return-to-work and weekly meal reimbursement. - **Compensation**: Competitive salaries (e.g., ML Engineer II posted at $180,000–$210,000 USD); equity (stock option program); 401(k) matching up to 4%. - **Health & Wellness**: Company-paid medical, dental, vision (including HSA/FSA); life and disability plans; Total Wellness Program covering mental, physical, and financial well-being. - **Community & Events**: Annual in-person gatherings at Ann Arbor HQ; regular virtual and IRL team events; employee resource groups. - **Impact**: Directly improving community mobility and reducing congestion; work is deployed in real-world environments with measurable outcomes. ## Sources 1. [maymobility.com/about](https://maymobility.com/meet-may/) 2. [maymobility.com/careers](https://maymobility.com/careers/) 3. [linkedin.com/company/maymobility](https://www.linkedin.com/company/maymobility) 4. [job-boards.greenhouse.io/maymobility](https://job-boards.greenhouse.io/maymobility/jobs/8502419002) ## Other roles at May Mobility - [Senior Autonomy Technical Project Manager](https://feeny.ai/job/senior-autonomy-technical-project-manager-may-mobility-ann-arbor-ccctewcfc9az) — Ann Arbor, MI - [Senior Manager, Quality Systems](https://feeny.ai/job/senior-manager-quality-systems-may-mobility-united-states-23m8nnsh5xnp) — United States - [Senior Autonomy Technical Release Manager](https://feeny.ai/job/senior-autonomy-technical-release-manager-may-mobility-ann-arbor-pzrr29qf1yqp) — Ann Arbor, MI - [Site Operations Manager II](https://feeny.ai/job/site-operations-manager-ii-may-mobility-arlington-53mjvahs8e8e) — Arlington, VA - [Autonomous Vehicle Operations Specialist II](https://feeny.ai/job/autonomous-vehicle-operations-specialist-ii-may-mobility-arlington-0raxgp7g1ybc) — Arlington, VA - [Senior Autonomous Vehicle Operations Specialist](https://feeny.ai/job/senior-autonomous-vehicle-operations-specialist-may-mobility-arlington-vazvtyryjn5j) — Arlington, VA - [Autonomous Vehicle Operations Specialist](https://feeny.ai/job/autonomous-vehicle-operations-specialist-may-mobility-atlanta-he5zts2saahj) — Atlanta, GA - [Senior Accountant](https://feeny.ai/job/senior-accountant-may-mobility-ann-arbor-4p65ybymr8fc) — Ann Arbor, MI - [Autonomous Vehicle Operations Specialist](https://feeny.ai/job/autonomous-vehicle-operations-specialist-may-mobility-grand-rapids-1w8qz149mgxe) — Grand Rapids, MN - [Robotics Engineer II](https://feeny.ai/job/robotics-engineer-ii-may-mobility-ann-arbor-n3j82kvrp1yq) — Ann Arbor, MI