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Build, train, evaluate, and deploy production computer vision models (detection, segmentation, OCR, barcode decoding, visual search). Own dataset quality, tooling, model releases, inference exports, and monitoring. Collaborate cross-functionally to improve model performance, robustness, and deployment for retail robotics and edge environments.

Lead design, integration, and optimization of production robot perception pipelines (detection, segmentation, depth, tracking, SLAM). Bridge computer vision and robot autonomy, optimize real-time inference on edge GPUs, debug field failures, define system benchmarks, and provide technical leadership and mentorship across teams.

The Engineering Leader will oversee software and data teams, ensuring product delivery and operational excellence in robotics and IoT systems.

Manage the full deployment lifecycle for retail locations, coordinating installation, network setup, configurations, and troubleshooting, while building automation and ensuring quality.