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Staff AI/ML Engineer - AMR Robot Perception

General Motors of Canada

Warren (MI)

Hybrid

USD 100,000 - 130,000

Full time

10 days ago

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Job summary

A leading automotive company is seeking a Staff Robot Perception Engineer to develop machine learning systems enhancing autonomous robot capabilities. You will design algorithms for object detection and contribute to the robotics development lifecycle, ensuring seamless system integration. This role offers a unique opportunity to work on cutting-edge technologies in a hybrid setting while collaborating with talented teams.

Qualifications

  • 3+ years of experience developing robot perception systems.
  • Strong programming skills in Python and C++.
  • Hands-on experience with machine learning frameworks.

Responsibilities

  • Design and deploy perception algorithms and models using camera and LiDAR data.
  • Collaborate with motion planning and localization teams for integration.
  • Maintain cloud-based pipelines for data processing and model training.

Skills

Python
C++
Machine Learning
Sensor Fusion
Robotics Systems

Education

Bachelor's, Master's, or Ph.D. in Robotics, Computer Science, Electrical Engineering

Tools

PyTorch
TensorFlow

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 skilled Staff Robot Perception Engineer to 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

Additional Job Description

Your Skills & Abilities:

Bachelor’s, Master’s, or Ph.D. in Robotics, Computer Science, Electrical Engineering, or a related field

3+ years of experience developing and deploying real-world robot perception systems

Strong programming skills in Python and C++

Hands-on experience with machine learning frameworks such as PyTorch or TensorFlow

Solid understanding of robotics systems including localization, mapping, and planning

What Will Give You A Competitive Edge:

Experience with ROS/ROS2 and Navigation2 framework

Familiarity with testing frameworks and hardware-in-the-loop (HIL) testing

Understanding of CI/CD pipelines and modern software development practices

Background in autonomous vehicles (AV), ADAS, or industrial automation

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.

About the company

804253 General Motors of Canada Company, commonly known as GM Canada, is the Canadian subsidiary of General Motors.

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