May Mobility
autonomous technology
LeadAutonomyBehaviorEngineer
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead Autonomy Behavior Engineer at May Mobility. Skills: Autonomy Behavior Engineering, Robotics Software Development, C/C++ Programming, Behavior Planning, Decision Making Under Uncertainty, Path Planning, Probabilistic Reasoning, Prediction, Machine Learning, Trajectory Generation, Controls, Localization. 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 ”
What You'll Achieve.
enable comfortable and safe behavior and control for Autonomous Vehicles; design and implement metrics capturing key performance indicators of Autonomous Vehicle subsystems; validate vehicle performance across target operational domains; validate performance of Autonomous Vehicle software in real-world scenarios; enable support engineers to analyze performance of behavior and control subsystems from field data; Define measurable success metrics for May's technical roadmap to ensure delivery and health of the system.
Industry & Context.
Ability to understand complex code bases and define architecture as a framework enabling others to solve problems.; Diagnose and root-cause issues reported by commercial operations
Moderate travel required: 11%-25%, Standard office working conditions, Prolonged sitting, Prolonged standing, Prolonged computer use
What They're Looking For.
Must Have
Bachelor's degree in Robotics, Computer Science, Computer Engineering, or a field that requires a 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, programming skills in C/C++, Expertise with software development in a Linux environment, Familiarity with standard development tools such as git, valgrind, and gdb
Nice to Have
Masters or PhD in Robotics, Computer Science, or Electrical and Computer Engineering, Mechanical Engineering, or a field that requires a mathematical and/or engineering foundation (e. g. physics, aerospace engineering), 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, programming skills in C, software development in a Linux environment
What You'll Do.
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
How You'll Work.
Team & Collaboration
Coordinate with cross functional teams to develop software and system requirements; Collaborate with data science team members; Collaborate cross functionally with adjacent teams such as perception and controls as well as stakeholders outside of autonomy; Provide technical guidance to Technical Support Team; Mentor and support more junior engineers
Communication Scope
Communicates technical direction effectively at all organizational and technical levels.
Process & Methodology
Provide technical leadership for complex projects
Full Job Description
May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We’re building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we’ve given more than 500,000 autonomous rides to real people around the globe. And we’re just getting started. We’re hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. 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 supp
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