Robotics Engineer II

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   

Don’t meet every single requirement? Studies have shown that women and/or people of color are less likely to …