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May Mobility

Lead Autonomy Behavior Engineer

May Mobility

Lead Engineer developing robotics software for autonomous vehicles at May Mobility. Collaborating with cross-functional teams and guiding technical support in software development.

Posted 5/15/2026full-timeRemote • Missouri • 🇺🇸 United StatesSenior💰 $190,000 - $230,000 per yearWebsite

Tech Stack

Tools & technologies
Linux

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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.

Benefits

Comp & 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.

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Hard Skills & Tools
C/C++robotics softwarebehavior planningdecision makingpath planningprobabilistic reasoningmachine learningtrajectory generationcontrolslocalization
Soft Skills
technical guidanceteam collaborationcode qualityissue diagnosisproblem resolution
Certifications
Bachelor's degree in RoboticsBachelor's degree in Computer ScienceBachelor's degree in Computer Engineering