<div><p><span style="font-weight:400;font-size:12pt;">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. </span></p><p><span style="font-size:12pt;"><span style="font-weight:400;">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.</span><span style="font-weight:400;"> </span><span style="font-weight:400;">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.</span></span></p></div><p><strong>Your Opportunity to Drive Success </strong></p><p>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.</p><ul><li>Be a technical thought leader to champion May Mobility’s mission, vision, values and company priorities to develop and execute autonomy strategy with fellow engineering leaders</li><li>Communicate clear and concise issues, analysis results, solutions, and timelines to other managers to enable rapid and effective responses to ongoing field issues.</li><li>Responsible for operational and technical team successes and outcomes, including - meeting benchmarks, prioritizing effective time and resource allocation across all team functions, and engaging in regular status and metrics reporting</li><li>Collaborate with other Autonomy teams, Safety teams, Advanced Engineering teams to deploy robust, generalizable perception solutions for autonomous vehicles</li><li>Manage hardware/software integration efforts and KPIs, alongside with OKR progress</li><li>Track and trend technical performance of autonomy system in the field </li><li>Support site/field integration, performance evaluation, system verification, and product launch/deployment in US and global sites</li><li>Escalate critical issues and opportunities within the autonomy team to engineering leadership, making clear recommendations to maximize the effectiveness of the team with respect to company priorities</li></ul><p><strong>Required Qualifications</strong></p><ul><li>Bachelor's degree in Robotics, Computer Vision, Machine Learning, Artificial Intelligence, Computer Science, or Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation (e.g. physics, aerospace engineering)</li><li>A minimum of 5+ years of industry experience leading deploying or managing technical development for real-world robot systems related to perception, prediction, planning or equivalent technical fields</li><li>Minimum of 2+ years of technical development experience in an autonomy stack:</li><ul><li>Robotics software integration, embedded systems, or test automation</li><li>Middleware: ROS/ROS2, real-time systems, and embedded device communication</li></ul><li>Strong experience in autonomous vehicle or mobile robotics hardware/software integration.</li><li>Deep understanding of AV stacks, evaluation methodologies, metrics and safety KPIs</li><li>Strong experiences and motivation to work on fast pace startup environments with creative and critical thinking capabilities</li><li>Strong confidence and comfort to prioritize tasks, projects and requests with good project management understanding</li><li>Exceptional verbal and written communication skills for cross-team collaborations</li><li>Ability to travel approximately 20% of the time</li></ul><p><strong>Desired Qualifications</strong></p><ul><li>Masters or PhD in Robotics, Computer Vision, Machine Learning, Artificial Intelligence, Computer Science, or Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation (e.g. physics, aerospace engineering)</li><li>Previous hands-on system architecture experience building or leading the development for multiple tech stacks</li><li>Demonstrated successful people management experience and mentoring experience to support team member growth</li><li>Familiar with robotics software and middleware frameworks, and GPU programming in CUDA or related higher-level languages</li></ul><div><div><div>Salary Range</div><div><span>$172,000</span><span>—</span><span>$215,000 USD</span></div></div></div><div><div><div><div><div><div><div><p><span style="font-size:12pt;"><strong>Benefits and Perks</strong></span></p><ul><li style="font-weight:400;font-size:12pt;"><span style="font-weight:400;font-size:12pt;">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. </span></li><li style="font-weight:400;font-size:12pt;"><span style="font-weight:400;font-size:12pt;">Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.</span></li><li style="font-weight:400;font-size:12pt;"><span style="font-weight:400;font-size:12pt;">Rich retirement benefits, including an immediately vested employer safe harbor match.</span></li><li style="font-weight:400;font-size:12pt;"><span style="font-weight:400;font-size:12pt;">Generous paid parental leave as well as a phased return to work. </span></li><li style="font-weight:400;font-size:12pt;"><span style="font-weight:400;font-size:12pt;">Flexible vacation policy in addition to paid company holidays.</span></li><li style="font-weight:400;font-size:12pt;"><span style="font-size:12pt;"><span style="font-weight:400;">Total Wellness Program providing numerous resources for overall wellbeing  </span> </span></li></ul></div><div><span style="font-size:12pt;">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.</span></div></div></div></div></div></div><p><span style="font-size:12pt;"><em><span style="font-weight:400;">Want to learn more about our culture &amp; benefits? Check out our <a href="https://maymobility.com/careers/">website</a>!</span></em></span></p><p><span style="font-size:12pt;"><em><span style="font-weight:400;">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.</span></em></span></p><p><span style="font-size:12pt;"><strong><em>Note to Recruitment Agencies:</em></strong><em><span style="font-weight:400;"> 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.</span></em></span></p><p><br><br></p></div>

<p>May Mobility is developing autonomous electric vehicles from the chassis up with a focus on system-level safety design. This focus will allow us to be the first to launch a fully driverless autonomous vehicle. The company plans to lead the industry with its system design approach and best in class user experience. Founded in 2017, the company is headquartered in Ann Arbor, Michigan, United States.</p>

Autonomy Engineering Manager - Systems

<div><p><span>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.&nbsp;</span></p><p><span><span>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.</span><span> </span><span>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.</span></span></p></div><p><strong>Your Opportunity to Drive Success&nbsp;</strong></p><p>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.</p><ul><li>Be a technical thought leader to champion May Mobility’s mission, vision, values and company priorities to develop and execute autonomy strategy with fellow engineering leaders</li><li>Communicate clear and concise issues, analysis results, solutions, and timelines to other managers to enable rapid and effective responses to ongoing field issues.</li><li>Responsible for operational and technical team successes and outcomes, including - meeting benchmarks, prioritizing effective time and resource allocation across all team functions, and engaging in regular status and metrics reporting</li><li>Collaborate with other Autonomy teams, Safety teams, Advanced Engineering teams to deploy robust, generalizable perception solutions for autonomous vehicles</li><li>Manage hardware/software integration efforts and KPIs, alongside with OKR progress</li><li>Track and trend technical performance of autonomy system in the field&nbsp;</li><li>Support site/field integration, performance evaluation, system verification, and product launch/deployment in US and global sites</li><li>Escalate critical issues and opportunities within the autonomy team to engineering leadership, making clear recommendations to maximize the effectiveness of the team with respect to company priorities</li></ul><p><strong>Required Qualifications</strong></p><ul><li>Bachelor's degree in Robotics, Computer Vision, Machine Learning, Artificial Intelligence, Computer Science, or Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation (e.g. physics, aerospace engineering)</li><li>A minimum of 5+ years of industry experience leading deploying or managing technical development for real-world robot systems related to perception, prediction, planning or equivalent technical fields</li><li>Minimum of 2+ years of technical development experience in an autonomy stack:</li><ul><li>Robotics software integration, embedded systems, or test automation</li><li>Middleware: ROS/ROS2, real-time systems, and embedded device communication</li></ul><li>Strong experience in autonomous vehicle or mobile robotics hardware/software integration.</li><li>Deep understanding of AV stacks, evaluation methodologies, metrics and safety KPIs</li><li>Strong experiences and motivation to work on fast pace startup environments with creative and critical thinking capabilities</li><li>Strong confidence and comfort to prioritize tasks, projects and requests with good project management understanding</li><li>Exceptional verbal and written communication skills for cross-team collaborations</li><li>Ability to travel approximately 20% of the time</li></ul><p><strong>Desired Qualifications</strong></p><ul><li>Masters or PhD in Robotics, Computer Vision, Machine Learning, Artificial Intelligence, Computer Science, or Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation (e.g. physics, aerospace engineering)</li><li>Previous hands-on system architecture experience building or leading the development for multiple tech stacks</li><li>Demonstrated successful people management experience and mentoring experience to support team member growth</li><li>Familiar with robotics software and middleware frameworks, and GPU programming in CUDA or related higher-level languages</li></ul><div><div><div>Salary Range</div><div><span>$172,000</span><span>—</span><span>$215,000 USD</span></div></div></div><div><div><div><div><div><div><div><p><span><strong>Benefits and Perks</strong></span></p><ul><li><span>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.&nbsp;</span></li><li><span>Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.</span></li><li><span>Rich retirement benefits, including an immediately vested employer safe harbor match.</span></li><li><span>Generous paid parental leave as well as a phased return to work.&nbsp;</span></li><li><span>Flexible vacation policy in addition to paid company holidays.</span></li><li><span><span>Total Wellness Program providing numerous resources for overall wellbeing&nbsp; </span>&nbsp;</span></li></ul></div><div><span>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.</span></div></div></div></div></div></div><p><span><em><span>Want to learn more about our culture &amp; benefits? Check out our <a href="https://maymobility.com/careers/">website</a>!</span></em></span></p><p><span><em><span>May Mobility is an equal opportunity employer.&nbsp; 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. &nbsp; 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.&nbsp; 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.</span></em></span></p><p><span><strong><em>Note to Recruitment Agencies:</em></strong><em><span> 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.</span></em></span></p><p><br><br></p></div>

Autonomy Engineering Manager - Systems

About the Job

About the Company

May Mobility

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