Staff AI/ML Engineer - AMR Robot Localization

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

Job summary

A leading company in the robotics sector is seeking a Staff Robot Localization Engineer to innovate and enhance localization solutions for autonomous robotic systems. The ideal candidate will contribute significantly by developing robust localization modules and working collaboratively with experts in autonomy to improve system accuracy.

Qualifications

• Proficiency in C++ or Python required.
• Expertise in camera- and LiDAR-based localization algorithms is essential.
• Experience with optimization for resource-constrained systems desired.

Responsibilities

• Develop high-precision localization methods using sensor data.
• Create engineering specifications and test procedures for compliance.
• Evaluate performance of localization systems and benchmarks.

Skills

C++

Python

Camera-based localization algorithms

LiDAR-based localization algorithms

Statistical estimation theory

Sensor fusion

Real-time system implementation

Education

Bachelor's or Master’s or Ph.D. in Robotics or related field

Tools

ROS2

Deep learning frameworks

Job description

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 a ccomplish the technical and business o bjectives .

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-tim e localiz ation 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

Additional Job Description

Your Skills & Abilities:

• Bachelor's, Master’s or Ph.D. in Robotics, Computer Science, Electrical/Mechanical Engineering, or related field.

• Proficiency in C++ or Python.

• Expertise in camera- and LiDAR-based localization algorithms, statistical estimation theory, and practices such as pose graph and factor graph optimization and implementation.

• Experience optimizing localization software to balance performance within resource constraints.

• Understanding of state-of-the-art solutions in place recognition for addressing loop-closure detection issues.

• Familiarity with ROS2 or other robotics middleware.

• Understanding and e xperience of other robotics key modules such as perception , mapping, and path planning.

• Adhere to continuous development and deployment practices in robotic software development

What Will Give You A Competitive Edge:

• Proficiency with deep learning frameworks and toolchains like PyTorch and TensorFlow

• Knowledge of the development process for deep learning and AI models

• Familiarity with localization repositories like Cartographer, ORB-SLAM, and VINS-Mono.

• Experience working with cloud-based map construction systems.

• A V /ADAS integration or industrial automation experience is a bonus.

Relocation: This job may be eligible for relocation benefits.

#LI-MH2

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards Resources .

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire .

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.