<div><p><span style="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><br><br><span style="font-size:12pt;">Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.</span></p></div><h1><span style="font-size:12pt;"><strong>Job Summary</strong></span></h1><p>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.</p><p>We are seeking ML-Oriented Software Engineers with experience in robotics applications. As part of our Autonomous Driving ML team, you will use your knowledge of Software and Hardware concepts to deploy, optimize and scale State of the Art Machine Learning models for both Datacenter and Edge Vehicle devices.</p><h1><span style="font-size:12pt;"><strong>Essential Responsibilities</strong></span></h1><ul><li>Deploy and Optimize Machine Learning model architectures across May’s Autonomous Driving training and inference stacks.</li><li>Own the model-compilation and deployment pipeline end-to-end.</li><li>Establish and defend latency/throughput budgets across the AV stack, including profiling, regression and integrity tests.</li></ul><h1><span style="font-size:12pt;"><strong>Skills and Abilities</strong></span></h1><p><em>Success in this role typically requires the following competencies:</em></p><ul><li>Architecting software for low-level GPU/CPU concurrency such as CUDA streams, pinned memory, kernel fusion and memory-layout optimization.</li><li>Use of compilation and runtime utilities such as TensorRT, ONNX and torch.compile for edge deployments.</li><li>Apply quantization, distillation, and pruning to fit models within onboard compute and memory budgets.</li></ul><h1><span style="font-size:12pt;"><strong>Qualifications and Experience</strong></span></h1><p><em>Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:</em></p><p><strong><em>Required</em></strong></p><ul><li>Bachelor’s or Master’s degree in Robotics, Computer Science, Computer Engineering, or a related field with strong mathematical and engineering foundations.</li><li>A minimum of 2 years writing software to interface with GPU and ML systems.</li><li>Proficiency in C/C++/CUDA/PyTorch and experience in Linux environments.</li><li>Familiarity with basic Perception and Planning concepts in Autonomous Driving.</li></ul><p><strong><em>Desirable</em></strong></p><ul><li>Familiarity with NVIDIA compute architectures (Ada, Hopper, Blackwell, etc).</li><li>Familiarity with common profiling tools such as Nsight, Pytorch Profiler, flamegraph.</li><li>Understanding of Quantization (INT8/FP8/FP16) and other compression techniques.</li><li>Familiarity with NVIDIA DRIVEOS architecture and SoCs (Orin/Thor).</li><li>Familiarity with techniques for scaling training throughput (batching, FSDP, streaming dataloaders).</li></ul><h1><span style="font-size:12pt;"><strong>Physical Requirements</strong></span></h1><ul><li>Standard office working conditions which includes but is not limited to:</li><ul><li>Prolonged sitting</li><li>Prolonged standing</li><li>Prolonged computer use</li></ul></ul><p>Travel required? -  Low 5-10%</p><hr><div><div><div><div><div><div><p><strong>Benefits and Perks</strong></p><ul><li>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. </li><li>Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.</li><li>Rich retirement benefits, including an immediately vested employer safe harbor match.</li><li>Generous paid parental leave as well as a phased return to work. </li><li>Flexible vacation policy in addition to paid company holidays.</li><li>Total Wellness Program providing numerous resources for overall wellbeing   </li></ul></div><div>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.</div></div></div></div></div></div><p><em>Want to learn more about our culture &amp; benefits? Check out our <a href="https://maymobility.com/careers/">website</a>!</em></p><p><em>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.</em></p><p><strong><em>Note to Recruitment Agencies:</em></strong><em> 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.</em></p><div><div><div>Salary Range</div><div><span>$180,000</span><span>—</span><span>$210,000 USD</span></div></div></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>

Machine Learning Engineer II - Autonomous Driving & Inference Runtime

<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.</span><br /><br /><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. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.</span></p></div><h1><span><strong>Job Summary</strong></span></h1><p>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.</p><p>We are seeking ML-Oriented Software Engineers with experience in robotics applications. As part of our Autonomous Driving ML team, you will use your knowledge of Software and Hardware concepts to deploy, optimize and scale State of the Art Machine Learning models for both Datacenter and Edge Vehicle devices.</p><h1><span><strong>Essential Responsibilities</strong></span></h1><ul><li>Deploy and Optimize Machine Learning model architectures across May’s Autonomous Driving training and inference stacks.</li><li>Own the model-compilation and deployment pipeline end-to-end.</li><li>Establish and defend latency/throughput budgets across the AV stack, including profiling, regression and integrity tests.</li></ul><h1><span><strong>Skills and Abilities</strong></span></h1><p><em>Success in this role typically requires the following competencies:</em></p><ul><li>Architecting software for low-level GPU/CPU concurrency such as CUDA streams, pinned memory, kernel fusion and memory-layout optimization.</li><li>Use of compilation and runtime utilities such as TensorRT, ONNX and torch.compile for edge deployments.</li><li>Apply quantization, distillation, and pruning to fit models within onboard compute and memory budgets.</li></ul><h1><span><strong>Qualifications and Experience</strong></span></h1><p><em>Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:</em></p><p><strong><em>Required</em></strong></p><ul><li>Bachelor’s or Master’s degree in Robotics, Computer Science, Computer Engineering, or a related field with strong mathematical and engineering foundations.</li><li>A minimum of 2 years writing software to interface with GPU and ML systems.</li><li>Proficiency in C/C++/CUDA/PyTorch and experience in Linux environments.</li><li>Familiarity with basic Perception and Planning concepts in Autonomous Driving.</li></ul><p><strong><em>Desirable</em></strong></p><ul><li>Familiarity with NVIDIA compute architectures (Ada, Hopper, Blackwell, etc).</li><li>Familiarity with common profiling tools such as Nsight, Pytorch Profiler, flamegraph.</li><li>Understanding of Quantization (INT8/FP8/FP16) and other compression techniques.</li><li>Familiarity with NVIDIA DRIVEOS architecture and SoCs (Orin/Thor).</li><li>Familiarity with techniques for scaling training throughput (batching, FSDP, streaming dataloaders).</li></ul><h1><span><strong>Physical Requirements</strong></span></h1><ul><li>Standard office working conditions which includes but is not limited to:</li><ul><li>Prolonged sitting</li><li>Prolonged standing</li><li>Prolonged computer use</li></ul></ul><p>Travel required? -  Low 5-10%</p><hr /><div><div><div><div><div><div><p><strong>Benefits and Perks</strong></p><ul><li>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. </li><li>Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.</li><li>Rich retirement benefits, including an immediately vested employer safe harbor match.</li><li>Generous paid parental leave as well as a phased return to work. </li><li>Flexible vacation policy in addition to paid company holidays.</li><li>Total Wellness Program providing numerous resources for overall wellbeing   </li></ul></div><div>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.</div></div></div></div></div></div><p><em>Want to learn more about our culture &amp; benefits? Check out our <a href="https://maymobility.com/careers/">website</a>!</em></p><p><em>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.</em></p><p><strong><em>Note to Recruitment Agencies:</em></strong><em> 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.</em></p><div><div><div>Salary Range</div><div><span>$180,000</span><span>—</span><span>$210,000 USD</span></div></div></div>

Machine Learning Engineer II - Autonomous Driving & Inference Runtime

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May Mobility

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