Depth Sensing Characterization Engineer

Requires a Master’s degree (or foreign equivalent) in Computer Science, Engineering, or a related field.
Requires completion of a graduate-level course, research project, or internship involving hardware systems such as depth sensors, cameras, imaging devices, and displays.
Requires completion of a graduate-level course, research project, or internship involving Python programming or MATLAB programming.
Requires completion of a graduate-level course, research project, or internship involving 3D Graphical package programming such as OpenGL or Qt.
Requires completion of a graduate-level course, research project, or internship involving computer vision including homography, pose estimation, and camera calibration.
Requires completion of a graduate-level course, research project, or internship involving machine learning such as nonlinear curve fitting, RANSAC, and neural networks.
Requires completion of a graduate-level course, research project, or internship involving C++ programming for embedded systems.

Design and implement 3D computer vision algorithms to evaluate, characterize, and validate various sensing technologies.
Develop characterization software to establish a standard set of data analysis tools for generating reports.
Collaborate cross-functionally with computer vision, software, hardware and test engineering teams to explore, evaluate and mature new sensing technologies.
Engage in developing characterization and metrology capabilities for a broad range of parameters across multiple sensors for lab and high volume manufacturing.
Test, capture and analyze sensor data in the lab and recommend improvements.
Integrate sensor data into data analysis software pipeline and perform statistical and other analysis.
Work with unfamiliar hardware at the BSP or SDK level to evaluate performance of various systems.

No preferred qualifications provided.