Robotics Engineer II

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
• 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

Requirements

• 2+ years experience with robotics software for physical systems in a commercial environment
• Bachelor's degree in Robotics, Computer Science, Computer Engineering, or a related field
• Basic understanding of ML model concepts such as training, architectures, and data selection
• Functional understanding of lidar, camera and/or radar perception systems
• Strong programming skills in C/C++/Python in a Linux environment
• Proficiency with software concepts such as memory management, threading, databases and networking
• Familiarity with standard development tools such as git, valgrind, and gdb

Preferred Qualifications

• Familiarity with 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 building training and evaluation pipelines for large data or large model applications

About the Company

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 innovative Multi-Policy Decision Making (MPDM) technology.