Staff AI/ML Engineer - AMR Robot Perception

General Motors; Warren (MI); Hybrid; USD 100,000 - 150,000; Full time

Job summary

A leading automotive company seeks a Staff Robot Perception Engineer to advance machine learning capabilities for autonomous robots. This hybrid role involves developing algorithms using camera and LiDAR data, collaborating across teams to ensure system integration, and optimizing models for real-world applications.

Qualifications

• Experience in developing perception algorithms for autonomous systems.
• Familiarity with camera and LiDAR data processing.
• Strong background in machine learning techniques.

Responsibilities

• Design and implement algorithms for object detection and tracking.
• Develop and apply sensor fusion techniques.
• Collaborate with hardware and localization teams.

Skills

Machine Learning

Sensor Fusion

Algorithm Development

Real-Time Optimization

Data Processing

Education

Master's degree in Robotics, Computer Science, or related field

Job description

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Cole Technical Center in the Warren MI three times per week, at minimum.

Role: We are seeking a highly skilledStaff Robot Perception Engineerto lead the development of cutting-edge machine learning systems that enable perception capabilities for autonomous robots. You will be instrumental in designing, training, and deploying camera- and LiDAR-based models for object detection, classification, tracking, and segmentation in complex, real-world indoor environments.

This role spans the full model development lifecycle and involves close collaboration with cross-functional teams, including hardware, localization, and planning. You will also help build scalable offline tools for data processing, training, evaluation and validation.

About the Organization

The Robotics Software team is pioneering the next generation of autonomous robotic systems, focusing on autonomous mobile robots (AMRs) and intelligent robotic platforms. We develop full-stack robotics capabilities—from perception and planning to control and system integration—bringing innovative, real-world autonomous solutions to the future of the work.

What You'll Do:

• Design, implement, and deploy perception algorithms and models for object detection, tracking, classification, and segmentation using camera and LiDAR data

• Develop and apply sensor fusion techniques to improve accuracy and robustness

• Develop offline tools to evaluate and benchmark the performance

• Optimize perception models for real-time performance and hardware constraints

• Collaborate with motion planning and localization teams to ensure seamless system integration

• Design and maintain cloud-based pipelines for data preprocessing, model training, and evaluation

• Contribute to system-level testing and validation in real-world scenarios