Senior AI/ML Engineer – Robot Localization

General Motors

. Develop and improve camera- and LiDAR-based localization algorithms for autonomous mobile robots .

Posted 9/17/2026full-timeWarren • Michigan • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in camera- and LiDAR-based localization algorithms and statistical estimation theory, with a strong focus on optimizing robotic software for performance and reliability. Proficient in integrating localization capabilities with ROS 2 and collaborating across various robotics disciplines.

Highest-signal resume keywords

Camera-Based Localization AlgorithmsLiDAR-Based Localization AlgorithmsStatistical Estimation TheoryROS 2 IntegrationPose-Graph Optimization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Localization AlgorithmsStatistical Estimation TheoryPose-Graph OptimizationFactor-Graph OptimizationRobotics Software OptimizationProduction-Quality Software DevelopmentAutomated TestingContinuous IntegrationDebuggingPerformance Evaluation

Soft Skills

Cross-Functional CollaborationTechnical CommunicationProblem-Solving

Tools & Technologies

ROS 2Robotics MiddlewareVersion ControlAutomated Testing ToolsContinuous Deployment Tools

Industry Keywords

Autonomous Mobile RobotsLocalization DriftLoop-Closure DetectionResource UtilizationField Issue Diagnosis

About the role

Key responsibilities & impact

Develop and improve camera- and LiDAR-based localization algorithms for autonomous mobile robots
Apply statistical estimation theory to improve localization accuracy, robustness, recovery behavior, and runtime performance
Design and implement pose-graph and factor-graph optimization solutions
Optimize localization software for accuracy, latency, reliability, and resource utilization on robotic platforms
Investigate place-recognition techniques to improve loop-closure detection and recovery from localization drift
Integrate localization capabilities with ROS 2 and other robotics middleware
Collaborate across perception, mapping, path planning, controls, platform software, and deployment operations
Diagnose field issues, reproduce failures, identify root causes, and deliver production-quality improvements
Support localization enablement for new products and platforms through design, integration, validation, and deployment
Follow continuous development and deployment practices, including code reviews, automated testing, performance evaluation, and release support
Communicate technical decisions, trade-offs, risks, and results to technical and cross-functional stakeholders

Requirements

What you’ll need

Master’s degree in robotics, computer science, or a related technical field
Three or more years of relevant industry experience
Strong expertise in camera- and LiDAR-based localization algorithms
Strong understanding of statistical estimation theory and its application to robotics
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 integration and deployment
Ability to analyze complex system behavior, investigate failures, and develop robust solutions
Ability to work effectively across multiple robotics disciplines and product teams

Benefits

Comp & perks

Benefits and total rewards resources provided by General Motors
Workplace inclusion and belonging initiatives
Reasonable accommodations for applicants with disabilities
Potential role-related assessment and/or pre-employment screening support