Staff AI/ML Engineer - AMR Robot Localization

General Motors; Warren (MI); On-site; USD 90,000 - 130,000; Full time

Job summary

A leading company in autonomous systems seeks a Staff Robot Localization Engineer to develop advanced localization solutions for robotics. This role involves designing high-precision methods, collaborating across teams, and continually improving system performance for autonomous mobile robots, ensuring compliance with engineering standards.

Qualifications

• Expertise in camera and LiDAR localization methods.
• Strong analytical and troubleshooting skills.
• Experience in designing engineering specifications.

Responsibilities

• Design and implement localization methods using sensors.
• Create specifications and benchmark localization systems.
• Improve accuracy and robustness of localization systems.

Skills

Probabilistic estimation

Sensor fusion

Real-time system implementation

Job description

Role: We are looking for a Staff Robot Localization Engineer to develop localization solutions that support the development, testing, and validation of localization subsystem of autonomous robotic systems. In this role, you will focus on developing camera- and LiDAR-based localization subsystem, design technical specification, creating and executing test plan, integrating the software with physical and simulation platforms, and enabling teams to accomplish the technical and business objectives.

You will work cross-functionally with experts in autonomy, contributing to system-level validation and the continuous improvement of system robustness and validation workflows.

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 and implement high-precision localization methods using camera, LiDAR, wheel encoder and inertial sensors.

• Develop scalable and real-time localization module optimized for autonomous robotic systems.

• Create engineering specifications and test procedures to ensure system compliance.

• Evaluate and benchmark the performance of localization systems.

• Review the state-of-the-art in camera- and LiDAR-based localization algorithms

• Troubleshoot using strong knowledge of probabilistic estimation, sensor fusion, and real-time system implementation.

• Adjust and fine-tune localization system parameters to improve accuracy and robustness