Camera and Depth Characterization Manager
Meta

Huge impact on the global future of AR/VR by ensuring all our 2D and depth cameras operate as requiredCharting new ground by defining test and characterization methodologies in very complex systems which include machine learning signal processing pipelinesResponsible for multiple labs across multiple sitesInterfacing with many XFN teams - from Hardware to Product to Algorithms and XRTech

Camera and Depth Characterization Manager Responsibilities:

• Lead camera and depth characterization and design validation across Reality Labs' product lines
• Define KPIs for cameras and depth sensors across multiple technologies and usage cases
• Define correlations between VR and AR usage cases and camera and depth technical performance metrics.
• Define experimental methodologies for characterizing cameras and depth systems
• work with and optimize machine learning data processing pipelines to deliver robust performance analyses.
• Manage software development for data collection and analysis
• Implement robust statistical data processing to infer system performance
• Define and manage the design of targets and scenes, as well as of automated rigs to methodically measure system performance across ranges, objects and operating conditions
• Attain a good understanding of classical and ML data processing pipelines as well as how they influence system performance.
• Reconcile differences between numerical and behavioral models versus experimental data, to enable insights on system behavior or anomalies.
• Manage and mentor characterization and design validation teams across Meta sites
• create development plans and growth opportunities for engineers
• enable and encourage cross-pollination within the team and with external teams in areas of algorithms, software, data analysis and system characterization.
• Deliver both technical and executive level presentations on test methodologies and experimental results to cross-functional teams.

Minimum Qualifications:

• Understanding of photometry and of noise sources in imaging systems
• More than 2 years of people management experience
• Understanding of free-space optics and experience setting up optical systems for camera characterization
• 4+ years of camera or depth system characterization
• Understanding of software for data capture and lab automation, such as LabView.
• Graduate degree in Optics, Physics, Image Science, Electrical Engineering, or related technical discipline with 7+ years of working experience
• Understanding of data processing techniques and signal statistics with hands-on knowledge of data analysis software such as Matlab or Python
• Leadership and interpersonal communication skills, and experience working across multiple disciplines, driving best engineering practices, and mentoring team members
• In-depth knowledge of camera and/or depth systems working principles
• Basic understanding of machine learning pipelines

Preferred Qualifications:

• PhD in Optics or related field
• Work with modern ISPs
• Characterization of embedded cameras, such as cellphone cameras
• Characterization of stereo depth systems, or of time-of-flight systems, such as lidars
• A good understanding of ML training and evaluation methodologies
• Experience working in complex, interdisciplinary organizations
• In-depth understanding of contemporary camera & depth signal processing pipeline in consumer electronics products
• Experience with joint hardware-software development and associated rapid prototyping
• Dedication to advance the camera & depth related user experience in consumer products