Architect and lead ML-driven map reconstruction systems that operate at national scale using multi-modal sensor data (camera, lidar, radar, vehicle signals).
Design and implement end-to-end pipelines for offline map reconstruction, including data mining, labeling strategies, model training, evaluation, and production deployment.
Define technical strategy and system architecture for next-generation mapping capabilities, balancing ML innovation with robustness, safety, and operational scalability.
Lead the development and adoption of state-of-the-art computer vision and ML techniques (e.g., detection, segmentation, 3D reconstruction, BEV representations) applied to mapping problems.
Own cross-functional technical initiatives, working closely with Perception, Localization, Simulation, and Platform teams to define interfaces, data contracts, and integration points.
Drive technical excellence through design reviews, mentorship, and technical guidance for senior and staff-level engineers across teams.
Diagnose and resolve system-level issues across data pipelines, ML models, and production workflows.
Serve as a Subject Matter Expert (SME) for ML-based mapping and reconstruction within Mapping and across the AV organization.
Contribute to technical roadmaps, hiring, and capability building for ML and CV expertise within the Mapping org.

Requirements

5+ years of experience building and deploying machine learning or computer vision systems in production environments.
Strong foundation in computer vision, machine learning, or robotics, with hands-on experience designing and training ML models.
Proficiency in Python for ML development; familiarity with C++ or other systems languages is a plus.
Experience building large-scale data pipelines for ML, including dataset curation, labeling workflows, training, and evaluation.
Proven ability to lead complex, cross-functional technical initiatives with high autonomy and influence.
BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or a related technical field, or equivalent industry experience.
Strong systems thinking — ability to reason about end-to-end ML systems, not just individual models.

Benefits

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.
Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningcomputer visiondata miningmodel trainingmodel evaluationproduction deploymentPythonC++data pipelines3D reconstruction

Soft Skills

leadershiptechnical guidancementorshipcross-functional collaborationsystems thinkingproblem-solvingautonomyinfluence

Certifications

BS in Computer ScienceMS in Computer SciencePhD in Computer ScienceBS in Electrical EngineeringMS in Electrical EngineeringPhD in Electrical EngineeringBS in RoboticsMS in RoboticsPhD in Robotics