Robotics Engineer II

About the role

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 reimagines the way AVs think. Our vehicles provide value to communities, bridge public transit gaps, and move people safely and efficiently. We're building the world's best autonomy system to reimagine transit by minimizing congestion, expanding access, and fostering vibrant, livable spaces. Since our founding in 2017, we've given over 500,000 autonomous rides globally. We're hiring people who share our passion for building the future and solving real-world problems.

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 autonomous vehicle software performance 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.

Requirements

• 2+ years of experience with robotics software for physical systems in a commercial environment.
• Bachelor's degree in Robotics, Computer Science, Computer Engineering, or a field requiring 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.

Qualifications (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, including prolonged sitting, standing, and computer use.
• Minimal travel required (1%-10%).

Benefits

• Comprehensive healthcare suite including medical, dental, vision, life, and disability plans (eligible for domestic partners residing together at least one year).
• Health Savings and Flexible Spending Healthcare and Dependent Care Accounts.
• Rich retirement benefits with an immediately vested employer safe harbor match.
• Generous paid parental leave and phased return-to-work support.
• Flexible vacation policy in addition to paid company holidays.
• Total Wellness Program providing resources for overall wellbeing.

Pay

Salary Range: $130,000—$155,000 USD