Responsibilities: Lead the development of an image data infrastructure that supports automated upload, storage, tagging, and indexing of image data collected during camera validation. Build and maintain camera image capture workflows, including scripting, control, and calibration of camera modules in bench and lab environments. Collaborate with camera validation engineers to define standardized metadata schemas (e.g., module ID, scene type, capture condition, lighting setup, test campaign) for consistent tagging. Design and implement backend pipelines to integrate with Meta’s internal systems (e.g., Hive, FBLearner, Scuba) for scalable data storage and querying. Provide tooling and APIs for engineers to retrieve image datasets filtered by use case, condition, or hardware configuration. Validate and debug image capture systems, ensuring repeatability and reliability across modules and setups. Support long-term image data lifecycle management, including archival, deduplication, versioning, and traceability. Ensure compliance with Meta’s data governance, privacy, and retention policies. Minimum Qualifications: BS/MS in Electrical Engineering, Computer Science, Imaging Science, or a related field. 3+ years of experience in camera hardware development, image capture workflows, or hardware-software integration. Solid understanding of camera systems, image sensors, optics, and ISP pipelines. Proficient in Python and tools for image capture and device control (e.g., OpenCV, PyCapture, vendor SDKs). Experience in database systems, data engineering, or pipeline development (e.g., SQL, Hive, Spark, Airflow). Familiarity with managing large datasets, including image storage formats, metadata, and compression. Preferred Qualifications: Experience working with camera validation teams or test automation frameworks. Knowledge of Meta’s internal tools and infrastructure (e.g., Scuba, FBLearner, Manifold, etc.). Strong debugging and scripting experience across platforms (Windows, Linux). Understanding of test chart setups, lighting environments, and lab equipment control. Excellent problem-solving skills and ability to work cross-functionally with hardware and software teams.