Staff AI Engineer - AMR Robot Localization

GM-posted 3 days ago

Full-time • Mid Level

Hybrid • Mountain View, CA

5,001-10,000 employees

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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. 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.

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

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

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.

GM offers a variety of health and wellbeing benefit programs.
Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more

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