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May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. Essential Responsibilities Train, Integrate and Test Machine Learning models for on-vehicle Autonomy software Optimize and Monitor on-vehicle software for maximum reliability and minimum latency 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 Design and oversee data collection strategies to address ML model deficiencies  Develop tools and visualizations to enable support engineers to analyze performance of behavior and control subsystems from field data Qualifications and Experience Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience: Required 2+ years experience with robotics software for physical systems in a commercial environment 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) Basic understanding of ML model concepts such as training, architectures, and data selection Functional understanding of lidar, camera and/or radar perception systems and their hardware interfaces Strong programming skills in C/C++/Python in a Linux environment Functional proficiency with Software concepts such as memory management, threading, databases and networking Familiarity with standard development tools such as git, valgrind, and gdb Desirable Familiarity with common Perception, Planning and Foundation model concepts in Autonomous Driving. Experience deploying ML models to resource-constrained hardware Experience with CUDA and GPU processing techniques Proficiency with hard example mining, active learning or dataset composition techniques Experience calculating metrics for and evaluating autonomous vehicle models Experience building training and evaluation pipelines for large data (>100TB) or large model (>100GB) applications 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