May Mobility jobs - 21 jobs

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 300,000 autonomy-enabled 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 A Lead Product Manager will lead the vision, strategy, and roadmap for key components of our autonomous mobility stack (e.g., perception, prediction, motion planning). In this role, you will translate user and business needs into clear, actionable technical strategies, working closely with engineering and cross-functional teams. You'll define robust product requirements, synthesize data-driven insights, and guide product development using system metrics, simulations, and real-world performance data. A deep understanding of system architecture, technical trade-offs, and product implications is essential. You will also mentor junior PMs and foster strong collaboration across internal teams and external partners. Essential Responsibilities Shape the vision, strategy, and roadmap for critical domains within our autonomous mobility stack. This role is responsible for translating user and business needs into a clear technical strategy for specific, high-impact areas (e.g., perception, prediction, or motion planning). Actively gather stakeholder needs and distill them into robust technical product requirements. You will develop clear and comprehensive product artifacts that serve as the single source of truth for our engineering teams. The ability to write a well-defined functional specification for complex behaviors is crucial. Synthesize technical and analytical insights to inform and prioritize the product roadmap. This includes working with engineering to understand technical dependencies, system performance, and the feasibility of new features. You will use data from vehicle logs, system metrics, and simulation results to validate assumptions and guide long-term, strategic decisions. Build a tight feedback loop with internal engineers, operations teams, and external partners. This includes not only gathering feature requests but also deeply understanding the system architecture, performance bottlenecks, and constraints that influence our product capabilities. Use data, product telemetry, and a deep understanding of our system to measure success and make data-informed recommendations. You will be able to debate technical tradeoffs with engineers and articulate the product implications of technical decisions. Lead from the front within the product organization, taking a direct role in mentoring more junior PMs on the technical aspects of autonomous systems and the product-engineering partnership. Skills and Abilities Success in this role typically requires the following competencies: Technical Acumen & Expertise: You must be able to debate technical tradeoffs with engineers and deeply understand system architecture and dependencies. The ability to synthesize insights from complex datasets, including vehicle logs, system metrics, and simulation results, is essential for informed decision-making. Strategic Vision & Analytical Rigor: You have a proven ability to define a long-term product vision and translate it into a phased, data-driven roadmap. You excel at using market analysis and product metrics to prioritize investments and back your assumptions. Cross-Functional Leadership: You can build and maintain a strong product-engineering partnership, acting as a trusted liaison between technical teams and business stakeholders. Your communication skills allow you to effectively articulate complex problems and secure alignment across the organization. Mentorship & Influence: As a senior member of the team, you take an active role in mentoring and upskilling junior product managers. You lead through influence, inspiring confidence and trust in your recommendations. Qualifications and Experience Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience: Required Minimum of 10 years of proven Product Management experience Experience leading product development and human-centered design efforts for software, hardware or combined software/hardware products, which includes leading from idea to in-market. Experience developing/launching products/technologies within AI/ML and/or autonomous vehicles, robotics, internet of things (IoT), transportation-as-a-service sectors Experience leading cross-functional teams, and mentoring junior members of a Product organization Demonstrated ability to craft product strategy amidst ambiguity Desirable Experience building product roadmap for data driven tools to accelerate development of commercial products based on real-world and simulated data logs Experience bringing new, innovative products to the market Physical Requirements Standard office working conditions which includes but is not limited to: Prolonged sitting Prolonged standing Prolonged computer use Travel required? - Frequent: 26%-50% 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! 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$150,000-$220,000 USD

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 300,000 autonomy-enabled 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. May Mobility is experiencing a period of significant growth as we expand our autonomous shuttle and mobility services nationwide. We are seeking talented data scientists and machine learning engineers to develop automated methods for contextualizing data collected by our autonomous vehicles. This will enable us to generate valuable insights from our data, making it easily searchable for triaging issues, creating test sets, and building datasets for autonomy improvements. Join us and make a crucial impact on our development and business decisions! Responsibilities Work independently with cross functional teams to develop software and system requirements. Design, implement, and deploy state-of-the-art machine learning models. Monitor the performance of the ML models and drive continuous improvement. Lead team code quality activities including design and code reviews. Communicate complex analytical findings and model performance metrics to both technical and non-technical stakeholders through clear visualizations and presentations. Provide technical guidance to team members. Skills Success in this role typically requires the following competencies: Expertise in deep learning, with hands-on experience in the design, training, and evaluation of a wide range of algorithms. Ability to build and productionize machine learning models and large-scale systems. Awareness of the latest advancements in the field, with the ability to translate innovative concepts into practical solutions for May. Excellent problem-solving skills with a meticulous approach to model architecture and optimization. Ability to provide individual and team mentorship, including technical leadership for complex projects. Strong understanding of data labeling best practices, label consistency, and performance metrics specifically relevant to large-scale auto-tagging accuracy and dataset curation. Qualifications and Experience Required B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, or a related quantitative field. 10+ years of hands-on experience as a Data Scientist or ML Engineer with a strong focus on algorithmic design and deep learning. Expert-level programming skills in Python with extensive use of modern deep learning frameworks like TensorFlow or PyTorch. Demonstrated experience in building and deploying production-level machine learning systems from conception to delivery. Experience working with multimodal data like visual data (images/video), structured perception and behavior outputs (e.g., agent tracks, vehicle state estimation, motion planner outputs). Demonstrated expertise in databases for data extraction, transformation, and analysis. Prior experience in mentoring and supporting junior engineers. Desirable Background in robotics or autonomous systems. Experience with multi-modal deep learning models, transformers, visual learning models etc. Experience with classifying driving maneuvers and traffic interactions using machine learning methods. Solid understanding of ML deployment lifecycle, MLOps practices, and cloud computing platforms (e.g., AWS, GCP). Expertise in PySpark/Apache Spark for handling large-scale data processing. 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! 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$200,591-$294,000 USD

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 300,000 autonomy-enabled 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. Essential Responsibilities Design, implement, and test-state-of-the-art robotics software in C/C++ to enable comfortable and safe behavior and control for Autonomous Vehicles Lead and participate in team code quality activities including design and code reviews Provide technical guidance to Technical Support Team on issue diagnosis and resolution Coordinate with cross functional teams to develop software and system requirements for Autonomous Vehicle behavior and controls subsystems Collaborate with data science team members to design and implement metrics capturing key performance indicators of Autonomous Vehicle subsystems Develop unit and simulation tests to validate vehicle performance across target operational domains Coordinate and execute on-vehicle tests to validate performance of Autonomous Vehicle software in real-world scenarios Diagnose and root-cause issues reported by commercial operations through the May Field Response process Develop tools and visualizations to enable support engineers to analyze performance of behavior and control subsystems from field data Skills and Abilities Success in this role typically requires the following competencies: Expert understanding of one or more of the following: behavior planning, decision making under uncertainty, path planning, probabilistic reasoning, prediction, machine learning, trajectory generation, controls or localization Awareness of the state of the art in the field, and be able to translate novel ideas into relevant solutions at May Ability to understand complex code bases and define architecture as a framework enabling others to solve problems. Ability to provide technical leadership for complex projects, including individual and team mentorship Ability to collaborate cross functionally with adjacent teams such as perception and controls as well as stakeholders outside of autonomy Communicates technical direction effectively at all organizational and technical levels. Defines measurable success metrics for May's technical roadmap to ensure delivery and health of the system. Qualifications and Experience Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience: Required Bachelor's degree in Robotics, Computer Science, Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation (e.g. physics, aerospace engineering) 7+ years of industry experience working on real-world robot systems including implementing at least two commercial projects working at a systems-level, delivering critical functions that make a robot work successfully in the field. Experience developing and deploying capabilities for robot behavior planning, decision making under uncertainty, path planning, probabilistic reasoning, prediction, machine learning, trajectory generation, controls and/or localization Familiarity with multiple non-linear control methodologies appropriate to mobile robots or autonomous vehicles, such as MPC, LQR, PID, optimal control, stochastic control, adaptive control, and robust control Strong programming skills in C/C++ Expertise with software development in a Linux environment Familiarity with standard development tools such as git, valgrind, and gdb Desirable Masters or PhD in Robotics, Computer Science, or Electrical and Computer Engineering, Mechanical Engineering, or a field that requires a strong mathematical and/or engineering foundation (e.g. physics, aerospace engineering) Strong background in one of the robotics areas discussed above as demonstrated by developing and delivering to fielded robots multiple capabilities that solve critical problems in controls and motion planning Familiarity with optimization techniques that are appropriate to mobile robots or autonomous vehicles, such as QP, control theoretic splines, and dynamics-aware approaches Demonstrated ability to mentor and support more junior engineers in learning and contributing to robotics development and testing Strong programming skills in C, software development in a Linux environment 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! 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 $190,000 - $230,000 USD

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 300,000 autonomy-enabled 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 FCC Specialist II is responsible for overseeing the day-to-day operations of the Fleet Command Center team. The FCC Specialist II plays a critical role in improving FCC Operator performance, ensuring rider satisfaction, and maintaining effective communication across departments. As a FCC Specialist II, this role will support hiring and training FCCO's and serve as a first escalation point for questions or concerns regarding FCCO duties. Essential Responsibilities Primary responsibility on FCCO support for high level ridealongs Hiring and training new FCCO's Work alongside the training team to format and finalize training program Create and Maintain job description for contracted operators Work cross-functionally with site operations & engineering teams, to provide input and feedback on upcoming events & new features. Assist with improving efficiency of scale Coordination of upcoming events/building an agenda, tracking the progress, and being responsible for next steps. Document daily summaries Provide leadership in decision making Create ways for FCC Operators to practice and improve performance Skills and Abilities Success in this role typically requires the following competencies: Strong communication skills providing clear & concise information both written and verbal Organizational skills Ability to multitask and prioritize tasks, whilst managing various vehicles/lines of communication Ability to track details and execute tasks through completion Ability to work effectively with team members at all levels of the organization Qualifications and Experience Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience: Required Qualifications: 3-5 years of experience in dispatching, logistics, transportation, or operations. Experience in fleet coordination, route optimization, and operator communication High school diploma or equivalent. Desirable Qualifications: 3-5 years experience in operations, logistics, or transportation at a management level 5+ years experience in general operations, logistics, dispatching or transportation Bachelors degree or equivalent Physical Requirements Standard office working conditions which includes but is not limited to: Prolonged sitting Prolonged standing Prolonged computer use Travel required? - Minimal: 1%-10% 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! 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$55,000-$65,000 USD

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 300,000 autonomy-enabled 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. May's Next Generation Autonomy team is at the front line of defining the future of autonomous vehicles. From algorithmic system architecture to new sensors and computational platforms, the Next Gen Autonomy team is where your breadth of technical knowledge and engineering excellence will turn into a comprehensive and tangible product you can be proud of. Next Gen Autonomy Engineers lead the solutions of challenging and complex architecture and design problems that bridge current and future implementations of Autonomous Vehicles. You will be responsible for both initial designs and production-level implementations of prototyping upcoming generations of May vehicles. You will drive forward the fulfillment of our Operational Design Domain needs through expanding and streamlining perception sensor selection; prototyping novel algorithms that utilize new and existing sensors; designing and implementing AV architectures that bring state-of-the-art robotics research and hardware platforms together. You will be a go to person for understanding how new features will fit into the future systems, how the system will operate under different conditions, how to best evolve the system to be more effective or efficient, and how to keep the system robust and reliable Role Overview: As an autonomy engineer, you will be a critical contributor to the design, development, and deployment of new system architectures, vehicle design, sensor selection, and corresponding advanced machine learning solutions. This position reports to the Director of Autonomy Systems. Essential Responsibilities: Coordinate with cross functional teams to develop software and locale-specific system architecture requirements for Autonomous Vehicle perception and localization. Design and develop perception models to generate early evaluation and acceptance metrics on candidate sensors. Coordinate with Mechanical and Electrical Engineering teams to prototype sensor loadouts on mule and pilot vehicles. Coordinate and execute on-vehicle tests to validate performance of Autonomous Vehicle software in real-world scenarios Collaborate with data science team members to design and implement metrics capturing key performance indicators of Autonomous Vehicle prototype subsystems Qualifications and Experience Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience: Required 1+ years demonstrated experience working on real-world robotic systems - in a lab, in industry, etc. - not just course study Bachelor's degree in Robotics, Computer Science, Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation (e.g. physics, aerospace engineering) Experience developing and deploying capabilities for robot perception, localization, behavior, path planning, and/or vehicle control Strong programming skills in C/C++ Expertise with software development in a Linux environment Familiarity with standard development tools such as git, valgrind, and gdb Desirable Master's or PhD in Robotics, Computer Science, or Computer Engineering (or other relevant field) 3+ years experience working on real-world robot systems Strong background demonstrated through high quality capability deliveries to robots working in the field in any of the following areas: perception, machine learning (applied to robotic problems), behavior development, planning, optimization, sensor processing and fusion, and vehicle dynamics. 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! 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$128,000-$180,000 USD

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 300,000 autonomy-enabled 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 Autonomy will be responsible for leading the vision, strategy, and technical roadmap of the Autonomy Behavior team at May Mobility. The Director of Autonomy plays a key role in advancing May's unique, innovative Multi-Policy Decision Making (MPDM) technology. MPDM enables May to build and scale its autonomy capabilities much more efficiently than any of its competitors. 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 Vice President 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; Software, Data and Infrastructure; and Operations leaders to solve and deploy solutions to autonomy challenges. Deliver innovative and robust advances to May's MPDM technology including faster execution, more accurate MPDM simulations, effective reward functions, improved and expressive policies, compatible and stable control algorithms and any other technological aspect required to advance MPDM, May's core technology. Guide the development and advances of advanced data-first and ML/AI approaches to maximize the capabilities of the MPDM stack. Ensure May's core MPDM 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 planning, automated decision making, and various machine learning techniques such as reinforcement learning. Develop and maintain key performance indicators (KPIs) to track autonomy performance Identify key gaps and challenges in May's autonomy technology including MPDM and control algorithms. 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 planning, autonomous decision making, reinforcement learning, and computational prediction. Proven success in applying and adapting ML/AI processes in complex decision making frameworks (preferably autonomous vehicles). 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 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 Deep understanding of the challenges facing autonomous vehicles as well as the state of the art in autonomy. Physical Requirements Standard office working conditions which includes but is not limited to: Prolonged sitting Prolonged standing Prolonged computer use Travel required? - In AA: Moderate: 1%-10% If remote: Moderate: 10-20% 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! 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-$255,000 USD

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 300,000 autonomy-enabled 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 May Mobility is looking for highly motivated, activated, and energetic technical project managers who can lead teams to solve some of the hardest problems in autonomous driving. Work will include: leading teams to deeply analyze and understand problems through data, clarifying fuzzy requirements and prioritizing competing technical tasks, assessing and aggressively mitigating risks, and detail oriented status tracking. Technical project managers at May coordinate frequently and effectively across all company functions including autonomy, vehicle engineering, software, product, finance, and operations. Experience Work cross-functionally with autonomy, engineering, product, customer operations, finance, and strategy teams to scope, plan and track the various autonomy projects. Provide leadership in decision making. Understand technical implementation at the architectural level and propose alternatives when necessary, ask questions that clarify priorities and look for process efficiencies. Take command in setting priorities based on information available and insight gained. Proactively remove obstacles to drive momentum and progress, identify gaps in communication or schedule, provide support to teams balancing competing priorities and drive results through actions. Build and maintain relationships with May Mobility's internal and external partners, understand their needs and drive alignment with May Mobility's product vision. Help lead autonomy engineering focusing on autonomy features to build tools and processes to identify risks and coordinate on-time and high quality product delivery, specifically identifying data needed to drive decisions. Consolidate input from autonomy, engineering, safety, legal, and business teams to produce and distribute project work plans; Requests for Procurement, Statements of Work, Program Plans, and Gantt charts. Must have the ability to lead the team without direct reports with ownership of duties, along with follow up and corrections as needed. Coordinate and drive workshops with partners; build agenda, track progress and be responsible for outstanding items and next steps. Be a reliable problem solver with critical and creative thinking skills that drive the business forward. Provide regular status updates on autonomy projects and program progress and risks based on data driven decisions. Coordinate and communicate effectively between development and production teams. Drive decisions based on data and drive data needs to make sound decisions. Skills and Abilities Success in this role typically requires the following competencies: Technical understanding of driving data and autonomy development. Understanding how to make decisions based on data in conjunction with real-world experience. Understanding of autonomy systems and various components and their downstream impact. Ability to track details and execute tasks through completion. Taking command of project(s) while gathering data to drive towards results - not just task lists. Ability to clarify and document fuzzy requirements and challenges such that a project team can efficiently and effectively solve problems. An ability to clearly and concisely communicate technical concepts including root cause analysis, technical challenges and their solutions, and results backed by data. An ability to communicate effectively with both technical and non-technical people and teams. Qualifications and Experience Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience: Required Bachelor's degree or equivalent experience. Engineering, Computer Science or highly technical degree preferred. A minimum of 2 years of Project or Program Management experience is required. Ideally this experience is at least partially in fast pace research and development projects. Working level knowledge of the autonomous vehicle industry is required. Experience managing Perception projects is required. A high level of initiative and activation. Must be able to enthusiastically take on challenges, including those peripheral to core responsibilities when needed for project success. Good understanding of software and hardware development life cycles, ML feature cycle, data infrastructure/pipeline, AI product development, integration processes, and test/validation complexity, emphasizing SDLC. Desirable Understanding of startup fast cycle and vision to balance the long term goals. Past experience in autonomy systems ideal. 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! 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$175,000-$210,000 USD

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 300,000 autonomy-enabled 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. Senior ML Engineer May Mobility is experiencing a period of significant growth as we expand our autonomous shuttle and mobility services nationwide. We are seeking talented data scientists and machine learning engineers to develop automated methods for tagging data collected by our autonomous vehicles. This will enable us to generate valuable insights from our data, making it easily searchable for triaging issues, creating test sets, and building datasets for autonomy improvements. Join us and make a crucial impact on our development and business decisions! Responsibilities Design, implement, and deploy state-of-the-art machine learning models for analyzing multimodal data to generate searchable metadata and facilitating downstream engineering workflows such as quick issue triaging. Research and implement novel techniques for sequential feature extraction, weak supervision, and self-supervised learning to efficiently handle long-tail events and continuously improve labeling data quality. Curate high-quality datasets by applying advanced data mining techniques to ensure model robustness, performance, and coverage. Establish and maintain frameworks for model validation and performance monitoring to drive continuous improvement. Skills Success in this role typically requires the following competencies: Expert proficiency in designing and implementing deep learning architectures for combining visual data with sequential or time-series data streams for offline analysis. Strong understanding of data labeling best practices, label consistency, and performance metrics specifically relevant to large-scale auto-tagging accuracy and dataset curation. Expertise in machine learning, with hands-on experience in the design, training, and evaluation of a wide range of algorithms. Awareness of the latest advancements in the field, with the ability to translate innovative concepts into practical solutions for May. Excellent problem-solving skills with a meticulous approach to model architecture and optimization. Qualifications and Experience Required B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, or a related quantitative field. 5+ years of hands-on experience as a Data Scientist or ML Engineer with a strong focus on algorithm design and machine learning. Experience working with multimodal data like visual data (images/video), structured perception and behavior outputs (e.g., agent tracks, vehicle state estimation, motion planner outputs). Expert-level programming skills in Python with extensive use of modern deep learning frameworks like TensorFlow or PyTorch. Demonstrated experience in building and deploying production-level machine learning systems from conception to delivery. Expertise in PySpark/Apache Spark for handling large-scale data processing. Desirable Background in robotics or autonomous systems. Experience working with multimodal data like visual data (images/video), structured perception and behavior outputs (e.g., agent tracks, vehicle state estimation, motion planner outputs). Solid understanding of ML deployment lifecycle, MLOps practices, and cloud computing platforms (e.g., AWS, GCP). 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! 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$152,000-$220,000 USD

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 300,000 autonomy-enabled 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 Product Safety team is seeking a technical leader with experience in the full end to end development lifecycle for Autonomous Vehicle. As the technical leader, you will need to stay current on industry best practices and standards and guide the development of May Mobility's safety strategy considering relevant standard UL. 4600. ISO 21448, ISO 8800. This leader role provides safety guidance to the engineering development teams that are focused on development, and assess their work products.. As a Senior Manager/Lead Engineer, this role is expected to lead a team of Safety Engineers through development, management, and mentorship. As the Technical Lead, you will be responsible for working with our partners and customers to define safety strategies and targets for autonomous driving systems, understand their challenges and needs, and collaborate on new learning solutions. You will apply your experience with ISO 8800 and ISO 24118 to ensure we develop, deploy and maintain safe autonomous systems in simulation, on closed courses and on public roads. Essential Responsibilities Referencing ISO 8800, ISO 21448 and AV industry best practices, develop the strategy for ensuring safe autonomous system development, deployment and maintenance. Set the strategy for how we systematically break down operational design domain components and driving behavior components and how these are validated in aggregate and on a per behavior level. Work with software, data science and systems engineering teams to ensure May Mobility safely trains new machine learning models to solve complex problems. Set the safety standard for how we prototype, test and deploy new AI solutions.Set the strategy for testing and validation of data sets and develop an assurance plan. Work with data science, systems engineering and software teams to set the strategy for how we establish safety launch targets (SPI- Safety Performance index) across vehicle behaviors and in aggregate. Create and confirm the detailed functional safety case according UL4600 and ISO26262 including a schedule to hit the company's product launches Own and manage the safety plan and ensure that the schedule and required artifacts are met Train and coach the development team through every aspect of the safety plan through appropriate process and methods Communicate with all required stakeholders to identify and define technical/ system requirements, safety requirements tied to the safety goals. Ensure that functional safety confirmation measures such as audits and assessments are planned and complete. Skills and Abilities Success in this role typically requires the following competencies: Excellent communication and presentation skills. Hands-on with an analytical mindset and a proven track record of problem-solving. Palpable enthusiasm for cutting-edge innovation in self-driving technologies and safety products A high level of initiative and activation. Must be able to enthusiastically take on challenges, including those peripheral to core responsibilities when needed for project success. Machine Learning & AI Safety: ISO 8800, ISO 24118 and other applicable industry standards and best practices for autonomous vehicles, aerospace and/or robotics. Experience in Safety Leadership (combination of two or more ISO26262, ISO 21448 and UL 4600) An ability to clearly and concisely communicate technical concepts including root cause analysis, technical challenges and their solutions, and results backed by data. Strong problem-solving mindset and a proactive attitude towards learning and self-improvement Qualifications and Experience Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience: Required Bachelor's degree or equivalent experience. Engineering, Computer Science or highly technical degree preferred At least 10 years of prior experience as an engineer or in Autonomous Vehicle Development Demonstrated Safety case management (from conception to release) in any industry preferred in AV. Desirable Master's degree in Computer Engineering, Electrical Engineering, or similar field Experience in Safety Leadership (combination of two or more ISO26262, ISO 21448, ISO 21434 and UL 4600) Functional Safety Engineer/Professional/Expert Certification Proven track record as a Safety Manager through a complete product lifecycle Experience with ADS integration Physical Requirements Standard office working conditions which includes but is not limited to: Prolonged sitting Prolonged standing Prolonged computer use Travel required? - Minimal: 1%-10% 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! 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$125,000-$160,000 USD

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 300,000 autonomy-enabled 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 Senior Manufacturing Engineer has a comprehensive scope of responsibilities aimed at enhancing production efficiency, reducing costs, improving ergonomics, and ensuring quality standards. Working cross-functionally within the company and collaboration with external engineering partners in RFPs, SOWs, and design development is a focus for this role. The Senior Manufacturing Engineer solicits and formalizes requirements to improve manufacturability and design robustness, designs and constructs physical systems for quality testing and sensor calibration, and coordinates with suppliers for outsourcing projects. As a Senior with the team, leadership responsibilities include leading PFMEAs, participating in safety review activities, and mentoring technicians and junior engineers. Essential Responsibilities Responsible for efficiency, cost, ergonomic, and quality improvement projects for production Be a subject matter expert for design reviews as it relates to manufacturability, ease of scaling, ergonomics, and cost considerations Assist supply chain with sourcing decisions Develop in-process check procedures, work instructions and tooling requirements. Design and oversee the manufacturing of all in-house fixtures, jigs, and other production reliability and repeatability solutions Oversee outside manufacturing services and tooling builds Participate in RFP, SOW , and design development with external engineering partners Solicit and formalize requirements to improve manufacturability and design robustness with internal and external stakeholders Design and build physical systems for testing critical to quality specifications and sensor testing and calibration Work with suppliers to outsource relevant projects Lead PFMEAs; participate in control plan reviews and other safety review activities Mentor technicians and more junior engineers. Skills and Abilities Success in this role typically requires the following competencies: Familiarity with designing and executing process validations Proficient with 3D CAD software of mechanical and/or electrical components (Solidworks, PCB design packages) Knowledge of and proficiency in various manufacturing techniques potentially including machining, PCB assembly, wiring, molding, additive Proficient in rapid prototyping, 3-D printing technologies, and basic machining tools Ability to translate a design from prototype to production including the creation of properly dimensioned drawings Systems-level thinking Ability to problem-solve Demonstrated track-record of contributing to continuous improvement initiatives Effective communication skills to articulate complex technical concepts to a diverse audience of peers and management Collaboratively works to reduce risk, and takes mitigation actions as part of the larger organization Qualifications and Experience Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience: Required Bachelor's Degree in Mechanical Engineering, Electromechanical Engineering, Industrial Engineering or related field Minimum of 5 years' experience in a manufacturing engineering capacity Desirable Master's Degree in Engineering Knowledge of automotive repair and maintenance Knowledge of ADAS systems Physical Requirements Standard office working conditions which includes but is not limited to: Prolonged sitting Prolonged standing Prolonged computer use Standard Manufacturing conditions including but not limited to: Lifting and Carrying: Ability to lift and carry objects 20 - 30 pounds (Up to 50 pounds for a team lift) repeatedly throughout the shift. Bending and Stooping: Capability to bend, stoop, kneel, and crouch to access work areas, retrieve materials, or perform maintenance tasks as required by the manufacturing process. Repetitive Motion: Proficiency in performing repetitive tasks such as assembling components, operating machinery controls, or packaging products. This may involve using hands, arms, and wrists for extended periods. Reaching: Capability to reach overhead, horizontally, and below waist level to handle materials, operate machinery, or perform assembly tasks. Physical Endurance: Stamina and physical endurance to sustain energy levels and productivity throughout the shift, often in a fast-paced and physically demanding environment. Safety Awareness: Commitment to following safety protocols and procedures to prevent accidents and injuries while working with machinery, equipment, and materials. Travel required? - Minimal: 1%-10% 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! 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$110,000-$140,000 USD

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 300,000 autonomy-enabled 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 Senior Manager, Autonomy Data Engineering is responsible for ensuring that May's drive (and other related) data is stored responsibly (including cost effectiveness and cyber security), processed efficiently, and maximally used to increase insight and performance of May's autonomous vehicle capabilities both in R&D and commercial activities. Essential Responsibilities Own the many different types of data streams that our systems and operations produce so that they may be used effectively to scale our software development and operations Lead design, manage, and scale our real-time and historical data pipelines to enable our fleet to operate and facilitate continuous development of our system Build infrastructure others can use: define best practices and set technical standards for ingestion, transformation, validation, and testing Identify technical bottlenecks and resourcing gaps, propose scalable solutions or team structure adjustments, and contribute to the technical roadmap while mentoring others to improve team capacity Own data observability, integrity, and monitoring best practices Collaborate across teams to make data accessible via APIs and internal tools Organize and scope team work day-to-day along with performance management cycles Be a role model and a multiplier, coaching and mentoring engineers across the org Skills and Abilities Success in this role typically requires the following competencies: Ability to undergo a driving record check Excellent attention to detail and rigorous testing methodology Identifies complex problems and devises optimal and innovative solutions that often cross organizational boundaries Removes organizational barriers. Ability to make optimal trade-offs in own goals and resources (staff and budget) to help the team achieve its goals Proactive and anticipates challenges Ability to mentor staff of various skills and personalities, including both technical staff and other managers Maintains customer orientation in all engineering decision making Develops alternative approaches in collaboration with other managers to increase business results Qualifications and Experience Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience: Required B.S. Degree in Computer Science, Computer Engineering, or an equivalent degree 7+ years of relevant work experience Hands-on experience with distributed systems and databases such as Kafka, NATS, Spark, Flink, Druid, Clickhouse, Pinot Strong working knowledge of data structures and algorithms Proficient in a professional software language such as C++, Rust, Python, or Java Exceptional written and verbal communication skills and team leading abilities Desirable M.S. Degree in Computer Science, Computer Engineering and 10+ years of industry experience Experience building and managing large-scale data-processing pipelines in a cloud environment Working knowledge of telemetry systems and real-time data processing Physical Requirements Standard office working conditions which includes but is not limited to: Prolonged sitting Prolonged standing Prolonged computer use Travel required? - Minimal: 1%-10% 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! 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$190,000-$260,000 USD

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 300,000 autonomy-enabled 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 Senior Systems Engineer leverages a comprehensive understanding of the company's products and technologies to facilitate cross-functional engineering initiatives. This role will support system design activities, ensure alignment with requirements and collaborate with test and validation teams to establish verification criteria. The Senior Systems Engineer leads continuous improvement efforts throughout the organization and develops training materials outlining process flows and tool usage instructions to ensure regulatory compliance and best practice. Essential Responsibilities Leverage a system level understanding of our products and technologies to support cross-functional engineering efforts Create and maintain requirement specifications for our autonomous systems by: Analyzing stakeholder, product, and safety requirements to define technical system and subsystem requirements Supporting system design activities, assessing impact and conformance to requirements Collaborating with test and validation team to define verification criteria for system requirements Reviewing legacy requirements to ensure completeness and correctness Develop and execute methods for identifying and documenting general and location specific Operational Design Domain (ODD) Analyze real-world and simulation results to identify performance trends, uncover potential issues, and provide insights for improvements Lead engineering process continuous improvement activities, proposing solutions and gaining buy-in from impacted teams Evaluate industry and regulatory requirements for applicability to May Mobility products Performing FMEA analysis, tracking findings to resolution Skills and Abilities Success in this role typically requires the following competencies: Strong working knowledge of autonomous vehicle software and systems Strong analytical and problem solving skills Excellent written, verbal, and presentation skills Strong attention to detail and highly-organized Ability to multitask and adapt to shifting priorities in a fast-paced work environment Understanding of agile startup and engineering principles and mindset Ability to display systems thinking and attention to detail Detailed knowledge of requirements management and requirement-based design Curiosity to learn and desire to improve Qualifications and Experience Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience: Required Bachelor's Degree from an accredited university 5+ years experience in automotive engineering working on software, hardware, or combined hardware/software products and 2+ years experience working on autonomous driving systems Knowledge of automotive and autonomous vehicle technologies Experience with Python, SQL, and data analysis tools (e.g., Pandas, NumPy, Spark). Desirable A Masters degree in Engineering or equivalent experience Experience working in a startup Physical Requirements Standard office working conditions which includes but is not limited to: Prolonged sitting Prolonged standing Prolonged computer use Travel required? - Minimal: 1%-10% 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! 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$115,000-$140,000 USD

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 300,000 autonomy-enabled 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 Autonomy Release & Lifecycle Management department is responsible for deploying autonomy's software to the May fleet, setting up and supporting site launches as well as supporting the core autonomy teams in their development efforts through issue triage and simulation support. This Manager, Autonomy Technical Release will be responsible for leading the growth, development and release strategy for the May Mobility's autonomy on-vehicle stack. Components include but are not limited to core autonomy (behavior, perception, controls, systems), ADK hardware systems (Autonomy Driving Kit) firmware, embedded systems, configuration management and branch management, data and data support, cloud connection, etc. This role helps define and shape the way May deploys its software to the fleet, and should hold a vision and execution of what scale looks like for May Mobility when it comes to software deployment. Key to success in this role is to align with other departments and business units to develop a holistic strategy for growth. As a leader, you will set an example of initiative, data-driven decision making, design, and trouble-shooting. You will own the release deployment decisions and evaluation of the release to ensure a safe, reliable, high quality, and fast release. You will work cross-functionally with other teams such as safety, test & validation, autonomy integrity and validation, product, operations and business development to ensure releases are meeting expectations of the customers. This position reports to the Senior Director, Release & Lifecycle management. Essential Responsibilities This is a player-coach role where the Manager, Technical Release will be responsible for both demonstrating and developing team core competencies with the mission of developing a strong team to deploy May Mobility software stack at scale in a safe, reliable, and quality manner. Take initiative to understand every aspect of the May vehicle architecture - hardware, software, networking, configurations - all of it. Troubleshoot and support solutions to challenging field issues. Collaborate and lead system-wide improvements when working with other teams throughout May. Use your team's influence and gain support from other departments to meet May's objective of scalable quality and deployment. Assess and develop approaches that improve performance and evaluation in a variety of ways (software-in-the-loop and hardware-in-the-loop simulations approaches) Assess and improve system evaluation for robustness to systematic stochastic and transient issues that impact autonomous vehicle performance. Be a technical thought leader to champion May Mobility's mission, vision, values and company priorities. Set and manage Release metrics and KPIs alongside OKR progress set at the company level. Such as release performance and output, velocity to create and deploy with internal processes as well as rollout to sites - including 3rd party operations and globally. Provide strategy and execution to remove blockers from fast, reliable, and quality autonomy releases - including topics such as scaling the deployments of 1000's of vehicles per site. Escalate critical issues and opportunities within the autonomy team to engineering leadership, making clear recommendations to maximize the effectiveness of the team and release with respect to company priorities Skills and Abilities Success in this role typically requires the following competencies: Demonstrated ability to increase team motivation and effectiveness through effective mentoring, challenging team assumptions, and status quo. Effective verbal and written communication skills to convey ideas, instructions, and feedback clearly and efficiently. Strong decision-making skills to analyze situations, evaluate options, and make timely and informed decisions. Aptitude for identifying problems, analyzing root causes, and implementing effective solutions across multi-disciplinary stakeholders. Ability to plan strategically, anticipate future trends, and develop long-term roadmaps to drive organizational success. Flexibility and willingness to adapt to changing circumstances, priorities, and environments. Qualifications and Experience Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience: Required Qualifications: Bachelor's degree in Robotics, Computer Science, Computer Engineering, Electrical Engineering or an applied engineering field. Minimum of 5 years of experience in autonomous robotics system engineering with a broad focus across multiple aspects of autonomous robot components. Minimum of 3 years experience in managing high performance team of technical nature, as direct or indirect Previous experience working in the software development lifecycle bringing products to deployment Demonstrated strong troubleshooting and analytic skills at the system and subsystem level. Demonstrated ability to communicate effectively and clearly about complex system behaviors, structures, and issues. Desirable Qualifications: Master degree in Computer Science, Computer Engineering or applied engineering 6+ years of experience in autonomous robotic systems (title to reflect experience) Strong programming skills in C/C++ and branch management, CI/CD Experience with deploying software to autonomous cars, trucks, or similar vehicles. Prior experience in using simulation for test and evaluation Strong data analytic skillset to make decisions Experience in a startup environment Creating solutions that disrupt the market Physical Requirements Standard office working conditions which includes but is not limited to: Prolonged sitting Prolonged standing Prolonged computer use Travel required? - Minimal: 1%-10% 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! 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$198,500-$285,000 USD

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 300,000 autonomy-enabled 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. May Mobility is seeking a visionary and experienced Director of Predictive Simulation to lead our efforts in rapidly deploying iterative improvements to our autonomous driver stack. As a key member of our leadership team, you will direct and oversee innovative the design, development, and evolution of a comprehensive simulated test suite. This suite will be used to accurately predict the behavior of May's AVs in a variety of Operational Design Domains (ODDs). Critical Functions Overseen: Curation and evolution of a large suite of simulated tests Categorization of tests such that results can be rapidly interpreted Continuous improvement of tests in the virtual test suite Measure and maximize the coverage of the test suite(s) and other related artifacts to minimize test escapes and surprises. Ensurance of test report quality and predictive accuracy Summarization of test results in multiple useful categories for rapid assessment Critical Measurables The candidate is expected to continuously work to optimize the following KPIs: Maximize the coverage of the test suite, ensuring that our current and future ODDs are well covered Maximize the accuracy of the predictive results derived from testing and validation Minimize the time to interpret and use the results of the test suite (including minimizing false positive failures) Minimize the number of test escapes (surprises) observed in the field Responsibilities: Lead the development of May's core simulated test suite including log-based tests, synthetic tests, and Hardware in the Loop tests. Continuously measure and expand test coverage to ensure that the current and future ODDs are included. Minimize test escapes in on road drives. Make and communicate to key stakeholders predictions of AV performance in areas such as safety (collisions, time-to-collision, clearance), comfort (hard braking, hesitations, lateral swings) and computational performance. Manage and mentor a team of engineers and scientists, fostering a culture of innovation, collaboration, and excellence to drive high performance and professional growth. Collaborate with cross-functional teams, including core autonomy development, release, product, and operations to ensure that critical testing needs are met or exceeded. Define a testing taxonomy, specification, and roadmap, to efficiently and incrementally build and improve the test suite. Qualifications: Educational Background: PhD or Master's degree in a relevant field such as Computer Science, Data Science, Machine Learning, Robotics, Electrical Engineering. Professional Experience: 10+ years of experience in autonomous vehicle technology or related fields, with a strong track record of leadership and innovation. Leadership Experience: 5+ years of experience managing large technical teams (50+ engineers), with a focus on mentorship, team development, and fostering a collaborative work environment. Technical Expertise: Deep understanding of AV testing, use of simulation in verification and validation, and data science. Project Delivery: Proven ability to deliver complex technical projects on time and within budget, with a focus on achieving strategic objectives and measurable outcomes. Communication Skills: Excellent communication and collaboration skills, with the ability to articulate technical concepts to diverse audiences, including non-technical stakeholders, partners, and industry leaders. About May Mobility: At May Mobility, we're on a mission to revolutionize transportation with safe, reliable, and accessible autonomous vehicles. Our focus is on enhancing urban and suburban mobility, reducing traffic congestion, and improving public transportation. We're committed to innovation, safety, and community impact, and we're looking for leaders who share our passion for transforming the way people move. Our team is comprised of industry leaders and innovators who thrive in a dynamic and collaborative work environment. We offer competitive compensation, comprehensive benefits, and the opportunity to make a real impact on the future of mobility. If you're a visionary leader with a passion for autonomous technology and a track record of driving innovation, we'd love to hear from you. Apply now to join our team and help shape the future of transportation with May Mobility. 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! 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$217,000-$315,000 USD

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 300,000 autonomy-enabled 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 Senior Manager, Program Management oversees a portfolio of related projects and ensures their successful completion as well as managing a group of talented and adaptable Program Managers who drive the development and integration of complex hardware and software on schedule. The position reports to the VP Operations and works alongside VP's and Directors of Vehicle Engineering, Software and Production. Essential Responsibilities Work with and across multiple functional partners to document and track the execution of development programs Provides supervision and development opportunities for program managers who: Develop and communicate program plans and timelines Remove barriers and obstacles that impact performance Measure progress and adjust performance accordingly Develop contingency plans when needed Deploy program management processes and ensure they are followed accordingly Demonstrate adaptability and supporting continuous learning Skills and Abilities Success in this role typically requires the following competencies: Provide program management subject matter expertise to guide and mentor the PM team Stakeholder management - to establish and organize relationships with internal (Finance, Accounting, Legal, Site Operations, supply chain) and external (customers and their partners and vendors) stakeholders and meet their needs and expectations. Teamwork - to reach cross-functionally within May and across to our partners and customers to build trust, solve problems, resolve conflicts, etc. to launch sites successfully under tight deadlines. Critical thinking and decision-making skills to prioritize and manage projects effectively Excellent verbal and written communication skills to establish and maintain effective communications with internal customers, senior and executive management Leadership and ability to foster positive work environment to promote creativity and teamwork Collaboration and interpersonal skills to work effectively across the company Qualifications and Experience Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience: Required Bachelor's degree in Engineering 7+ years of relevant program management experience 3+ years of relevant people management experience Strong understanding of automotive hardware and software development process with an appreciation for maintaining a high quality bar with low operational overhead Demonstrates curiosity and a growth mindset; fosters an environment that supports learning, innovation, and intelligent risk-taking; and exhibits resilience in the face of setbacks Impeccable discretion when handling confidential or sensitive information Experience with Jira and/or other project management tools Desirable Master's degree in Engineering (esp. Computer science), MBA degree, or equivalent experience PMP or other program management certifications 15+ years of relevant program management experience 5+ years of relevant people management experience Experience in Autonomous Vehicles, Machine Learning, Robotics, Internet of Things (IoT) or Transportation as a Service Start-up Experience Physical Requirements Standard office working conditions which includes but is not limited to: Prolonged sitting Prolonged standing Prolonged computer use Travel required? - Minimal: 1%-10% 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! 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$105,000-$145,000 USD

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 300,000 autonomy-enabled 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. May Mobility is experiencing a period of significant growth as we expand our autonomous shuttle and mobility services nationwide. As we advance toward widespread deployment, the ability to measure safety and comfort objectively, accurately, and at scale is critical. The Senior Data Scientist in this role will shape how we evaluate AV performance, uncover system vulnerabilities, and ensure that every driving decision meets the highest standards of safety and passenger experience. Your work will directly influence product readiness, inform engineering priorities, and accelerate the path to building trustworthy, human-centered autonomous driving systems. Responsibilities Develop and refine safety and comfort metrics for evaluating autonomous vehicle performance across real-world and simulation data. Build ML and non-ML models to detect unsafe, uncomfortable, or anomalous behaviors. Analyze large-scale drive logs and simulation datasets to identify patterns, regressions, and system gaps. Collaborate with perception, prediction, behavior, and simulation teams to integrate metrics into workflows. Communicate insights and recommendations to engineering leaders and cross-functional teams. Skills Success in this role typically requires the following competencies: Strong proficiency in Python, SQL, and data analysis tools (e.g., Pandas, NumPy, Spark). Strong understanding of vehicle dynamics, kinematics, agent interactions, and road/traffic elements. Expertise in analyzing high-dimensional or time-series data from sensors, logs, and simulation systems. Excellent technical communication skills with the ability to clearly present complex model designs and results to both technical and non-technical stakeholders. Detail-oriented with a focus on validation, testing, and error detection. Qualifications and Experience Required B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, or a related quantitative field. 5+ years of experience in data science, applied machine learning, robotics, or autonomous systems. 2+ years working in AV, ADAS, robotics, or another safety-critical domain involving vehicle behavior analysis. Demonstrated experience developing or evaluating safety and/or comfort metrics for autonomous or robotic systems. Hands-on experience working with real-world driving logs and/or simulation data. Desired Background in motion planning, behavior prediction, or multi-agent interaction modeling. Experience designing metric-driven development, KPIs, and automated triaging pipelines. 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! 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$163,477-$240,408 USD

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 300,000 autonomy-enabled 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 Description The Director of Product will help oversee and direct several activities for May Mobility as it relates to product development, product strategy, competitive positioning and product marketing. This will lead and guide product strategy & planning to identify and take advantage of market, industry and economic opportunities while mitigating risks. This leader will share our values to solve one of the toughest problems in mobility while providing the highest level of service to our customers - with a passion for technology and finding ways to improve mobility to make people's lives better. Essential Responsibilities Lead a team of product managers that span across autonomous driving technology, application software, data & analytics, and vehicle hardware Create compelling & inspiring product visions, strategies and roadmaps for several areas by collaborating with internal stakeholders and leveraging market, behavior & technology trends Collaborate across other key stakeholders in product management, engineering, BD, customer success, etc. on product vision & strategy. Implement a unified product development process based on being a highly iterative, learning organization and by managing internal and external resources throughout the product life cycle (customer insights→ launch→ post-launch improvements→ end-of-life). Ensure that product roadmaps are customer and innovation driven and create compelling and lasting competitive advantage Ensure pricing and value analysis is developed to maximize competitiveness, volume and profit for all products while meeting budget requirements. Communicate product vision, strategy, positioning and plans with other leaders and stakeholders. Define OKRs for team and products and deliver on them Ensure collaboration of cross-functional teams to develop refined and improved KPI processes. Set market research objectives and ensure the market research team serves May Mobility to the highest possible level. Provide support with special projects as requested. Skills and Abilities Success in this role typically requires the following competencies: Autonomy System Expertise: Proven experience with autonomous vehicle technology is required for effectively debating technical tradeoffs with engineering leaders. Technical Translator: This role requires the ability to translate complex business goals into precise, engineering-ready technical requirements (PRDs/MRDs). Data-Driven Decision Making: Proficiency in analyzing vehicle telemetry and operational metrics is essential for justifying and pivoting roadmap decisions. Stakeholder Alignment: This individual must have proven ability to manage conflict and drive consensus among senior cross-functional leaders. Prioritization Rigor: Demonstrated ability to be "ruthless" in prioritization is necessary to balance partner value against foundational autonomy investment. Communication: Demonstrated ability to communicate, present and influence credibly and efficiently at all levels of the organization, including executive and C-level. Organization: Excellent interpersonal, verbal, written and organizational skills. Driven: Ability to work effectively and meet objectives without day-to-day direction. Qualifications and Experience Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience: 10+ years experience in the field of autonomy, robotics and commercialization of products. BA/BS degree or equivalent. Experience in Automotive, Transportation, Software as a Service and/or AI industries highly preferred. The candidate must possess direct operational knowledge of ride-hail, PUDO logistics, and the last-mile problem. Must have solid experience in launching green field products and managing the complete product life cycles (customer insights→ idea→ build→ launch→ measure→ learn→ continuously improve in-market→ end-of-life) Experience leading, managing, and developing teams of product and engineering personnel. Proven success working in a start-up/small business where there are minimal resources, nothing comes easy and things don't always work as planned. Experience building and maintaining strong, long-lasting client relationships. Ability to undergo a driving record check 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! 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$160,000-$230,000 USD

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 300,000 autonomy-enabled 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 May Mobility is entering an exciting phase of growth as we expand our first-of-its-kind autonomous shuttle and mobility services across the nation. Launched in 2017 with a strong team of experienced roboticists and software engineers with decades of experience fielding robotic systems in the wild, May Mobility is looking to expand its team of robotics engineers with a background in robotics or autonomous vehicles. Essential Responsibilities You will have an opportunity to independently impact our approach to solving the most interesting problems facing AV's today, while operating live in the wild. Work independently with cross functional teams to develop software and system requirements Design, implement, and test-state-of-the-art robotics software in C/C++ Lead team code quality activities including design and code reviews Track and Trend technical performance of the system in the field Provide technical guidance to Technical Support Team on issue diagnosis and resolution Skills and Abilities Success in this role typically requires the following competencies: In-depth understanding of one or more of the following: behavior planning, decision making under uncertainty, path planning, probabilistic reasoning, prediction, machine learning, trajectory generation, controls or localization Awareness of the state of the art in the field, and be able to translate novel ideas into relevant solutions at May Ability to understand complex code bases and identify long term architectural improvements Ability to provide individual and team mentorship, including technical leadership for complex projects Ability to collaborate cross functionally with adjacent teams such as perception and controls Ability to communicate complex technical concepts to diverse audiences, including stakeholders, executives, and customers Qualifications and Experience Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience: Required 10+ years of industry experience working on real-world robot systems including implementing at least two commercial projects working at a systems-level, delivering critical functions that make a robot work successfully in the field. Bachelor's degree in Robotics, Computer Science, Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation (e.g. physics, aerospace engineering) Experience developing and deploying capabilities for robot behavior planning, decision making under uncertainty, path planning, probabilistic reasoning, prediction, machine learning, trajectory generation, controls and/or localization Strong programming skills in C/C++ Expertise with software development in a Linux environment Familiarity with standard development tools such as git, valgrind, and gdb Desirable Masters or PhD in Robotics, Computer Science, or Electrical and Computer Engineering, Mechanical Engineering, or a field that requires a strong mathematical and/or engineering foundation (e.g. physics, aerospace engineering) Strong background in one of the robotics areas discussed above as demonstrated by developing and delivering to fielded robots multiple capabilities that solve critical problems in controls and motion planning Demonstrated ability to mentor and support more junior engineers in learning and contributing to robotics development and testing Strong programming skills in C, software development in a Linux environment 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! 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$189,000-$225,000 USD

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 300,000 autonomy-enabled 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 Senior Manager of the ADKi (Investigation and Instrumentation) leads the team responsible for conducting robust investigations to continuously improve the integration of the ADK hardware and embedded software within our autonomous vehicle systems. The role's primary focus will be leading a multidisciplinary engineering team and ensuring the reliability, performance, and functionality of our existing fleet and future programs. From troubleshooting issues to implementing updates, this work is crucial in maintaining operational efficiency and advancing system capabilities. The Senior Manager of ADKi Engineering will be an excellent collaborator that serves as the liaison between Quality, Operations, and Vehicle engineering teams. Essential Responsibilities * This is a player-coach role where the ADKi Manager will be responsible for both demonstrating and developing team competencies in the areas of: * Expert level troubleshooting to triage field issues as a formalized process to rectify issues * Structured approach to problem solving and analysis(Kepner-tragoe, 8d, 5 why, etc) * Expert level data collection to analyze autonomous vehicle system issues to improve performance and reliability. * Assisting and advising technicians (onsite and offsite) on proper troubleshooting and maintenance of our AV systems * Effectively plan the vehicle integration team activities across the supported vehicle platforms and cascading lessons learned to support holistic continuous improvement * Lead the acquisition and development of instrumentation to facilitate rapid analysis and triage of autonomous vehicle performance data. * Drive collaboration across a diverse engineering organization that includes field support, software, safety, autonomy, electrical, mechanical, and production engineers. * Work closely with the quality team to troubleshoot, triage, and resolve internal and supplier quality issues and maximize our fleet performance. Skills and Abilities Success in this role typically requires the following competencies: * Demonstrated ability to increase team motivation and effectiveness through effective mentoring, challenging team assumptions, and status quo. * Effective verbal and written communication skills to convey ideas, instructions, and feedback clearly and efficiently. * Strong decision-making skills to analyze situations, evaluate options, and make timely and informed decisions. * Aptitude for identifying problems, analyzing root causes, and implementing effective solutions across multi-disciplinary stakeholders. * Ability to plan strategically, anticipate future trends, and develop long-term roadmaps to drive organizational success. * Flexibility and willingness to adapt to changing circumstances, priorities, and environments. * Expertise with vehicle controls and ADAS embedded systems components. * Strong electronic hardware vehicle integration experience. * Experience with in-vehicle hardware validation/verification with systems such as lidar, radar, cameras, GPS, IMUs, etc. * Working knowledge of CAN, Ethernet, and Serial networks. Qualifications and Experience Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience: Required * Bachelor's degree in Computer Engineering, Electrical Engineering, Mechanical Engineering or related fields. * 10+ years of relevant work experience * At least 7 years of experience in leading an engineering team and delivering products on time * Experience with Robotics or ADAS integration. Desirable * Master's degree in Computer Engineering, Electrical Engineering, Mechanical Engineering or similar field. * Experience working with by-wire systems and low-level actuation in vehicles. * Experience in hands-on automotive embedded development. * Experience with agile engineering development processes. * Strong proficiency in creating or modifying scripts to automatically analyze vehicle data using Python, or other similar programming languages. Physical Requirements * Standard office working conditions which includes but is not limited to: * Prolonged sitting * Prolonged standing * Prolonged computer use * Travel Travel required? - Moderate: 11%-25% Salary Range $125,000-$155,000 USD