Autonomy Robotics Engineer II — Onsite

May Mobility, Inc.; Ann Arbor (MI); On-site; USD 130,000 - 155,000; Full time

Benefits offered by this job

Healthcare benefits

401(k) with employer match

Paid parental leave

Flexible vacation

Job summary

May Mobility, Inc. in Ann Arbor, Michigan, is seeking a robotics software engineer to advance autonomous vehicle software, train ML models, and optimize perception and control pipelines for real-world operation.

You will work with lidar, camera, and radar data, CUDA-enabled processing, and large-scale data pipelines to ensure reliable, low-latency performance across field tests and deployments.

Qualifications

• 2+ years experience with robotics software in a commercial environment.
• Bachelor's degree in Robotics, Computer Science, Computer Engineering, or a related field.
• Basic understanding of ML model concepts and data selection.
• Experience with lidar, camera and/or radar perception systems.
• Strong programming skills in C/C++/Python on Linux.
• Familiarity with development tools like git, valgrind, and gdb.
• Experience deploying ML models to resource-constrained hardware and CUDA.

Responsibilities

• Train, integrate and test ML models for on-vehicle autonomy software.
• Optimize and monitor on-vehicle software for reliability and low latency.
• Coordinate and conduct on-vehicle tests in real-world scenarios.
• Diagnose and root-cause issues reported by commercial operations.
• Design data collection strategies to improve ML model performance.
• Develop tools and visualizations to analyze behavior and control subsystems.

Skills

Robotics software

C/C++/Python

Linux

ML concepts

Lidar/camera/radar

CUDA/GPU

Testing pipelines

Git/Debugging tools

Education

Bachelor's degree in Robotics/CS/CE or related

Tools

Git

Valgrind

GDB

Job description

May Mobility, Inc. in Ann Arbor, Michigan, is seeking a robotics software engineer to advance autonomous vehicle software, train ML models, and optimize perception and control pipelines for real-world operation.

You will work with lidar, camera, and radar data, CUDA-enabled processing, and large-scale data pipelines to ensure reliable, low-latency performance across field tests and deployments.