Senior AI/ML Engineer - Robot Localization
General Motors1 day ago
Responsibilities
- Develop and improve camera- and LiDAR-based localization algorithms for autonomous mobile robots.
- Apply statistical estimation theory and pose-graph or factor-graph optimization to improve localization performance.
- Optimize localization software for accuracy, latency, reliability, resource utilization, and real-time robotic constraints.
- Investigate place-recognition techniques, loop-closure detection, and recovery from localization drift.
- Integrate localization capabilities with ROS 2 and other robotics middleware.
- Diagnose field issues, reproduce failures, identify root causes, and deliver production-quality improvements.
- Support localization design, integration, validation, and deployment for new products and platforms.
- Collaborate across perception, mapping, path planning, controls, platform software, and deployment operations.
- Perform code reviews, automated testing, performance evaluation, and release support for robotic software.
- Communicate technical decisions, trade-offs, risks, and results to technical and cross-functional stakeholders.
Requirements
- Master’s degree in robotics, computer science, or a related technical field.
- At least three years of relevant industry experience.
- Strong expertise in camera- and LiDAR-based localization algorithms and statistical estimation theory.
- Hands-on experience implementing and debugging pose-graph and factor-graph optimization.
- Experience optimizing localization or robotics software for constrained compute, memory, latency, or real-time requirements.
- Experience developing production-quality software for robotic systems.
- Experience with ROS 2 or another robotics middleware framework.
- Experience with version control, code review, automated testing, and continuous development and deployment practices.
- Ability to analyze complex system behavior, investigate failures, and develop robust solutions.
- Ability to collaborate effectively across robotics disciplines and product teams.
- Preferred: Ph.D. in robotics, computer science, or a related technical field.
- Preferred: familiarity with perception, mapping, path planning, controls, or other core robotics modules.
- Preferred: experience deploying autonomous mobile robot or other autonomous robotics software in diverse real-world environments.
Benefits
- General Motors provides well-being and total rewards resources supporting employees at work and at home.
- General Motors offers an inclusive, non-discriminatory workplace and reasonable accommodations for applicants.
Categories
Robotics
About General Motors
General Motors designs, manufactures, and sells cars, trucks, and electric vehicles for consumers and commercial fleets under brands including Chevrolet, GMC, Cadillac, and Buick. A public company on the NYSE headquartered in Detroit and founded in 1908, it operates globally and is developing EVs on its Ultium battery platform. Revenue comes from vehicle and parts sales, connected services such as OnStar, and financing through GM Financial.