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Artificial Intelligence • Cloud • Internet of Things • Machine Learning • Analytics • Industrial
Develop and maintain autonomous-vehicle perception systems spanning C++ embedded software, sensor interfaces, ML models, data pipelines, and planning integrations. Diagnose sensor and perception failures, optimize real-time edge deployments, improve code quality, and collaborate across robotics, systems, and platform teams. The role involves training and deploying models for detection, segmentation, tracking, and scene understanding, while contributing to architecture, debugging, code reviews, and engineering best practices.
