Join our Spectacles team as a Computer Vision Engineering student worker, a full-time position for 3 to 6 months offering hands-on industry experience. You will research and develop advanced computer vision algorithms tailored to Spectacles challenges, implement and optimize these technologies onto the device, write clean code, and test algorithms for robustness and efficiency. Ideal candidates have a strong background in Computer Vision, Math, and programming skills in Python/C++, with experience in areas like Camera Calibration, Sensor Fusion, Visual SLAM, and Semantic Segmentation. Preferred qualifications include PhD candidacy, AR integration expertise, 3D engine familiarity, and publication in top conferences. This role bridges academic innovation with practical product development at Snap Inc., fostering collaboration across diverse engineering teams.
Python
MATLAB
LabVIEW
AutoCAD
Fiber Optics
Data Center Systems Architecture
Networking
Industry Standards
Product Qualification Testing
Communication Skills
Mechanical Design
Laboratory Test Equipment
Mechanical Engineering
Electrical Engineering