Job description:

  • Initiating and leading the deep learning field in the company, main focus on automotive.

  • Research, develop and test computer vision, deep-learning, computational photography and image processing algorithms (both conventional and learning-based), specifically in the field of multi-camera systems.

    • Algorithmic design for a real-time embedded platform (automotive)

  • Own the full development cycle – from concept, through research, design, implementation and testing

    • A mixture of algorithmic work (research and design in Matlab or similar) and SW work.

Job requirements

  • M.Sc., in Electrical Engineering with high grades, preferable.

  • B.Sc. in Electrical Engineering with high grades, with 5+ years of experience in Deep Learning, computer vision or computational photography algorithms development.

  • Deep learning experience in automotive – a substantial advantage

  • C/C++/Python coding experience is mandatory.

  • Creative, innovative, out of the box thinking.

  • Good written and verbal communication skills of highly technical data.

  • Fast learner, team player, reliable, motivated, hard worker, good organizational skills.

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Image quality

Image quality testing
UI/UX testing
Testing benchmark design and integration

Camera hardware

Compact Lens design
Micro electro-mechanical systems for zoom, auto-focus, optical image stabilization
Diverse actuator technologies and control systems
Environmental and reliability testing in preparation for ultra high volume Manufacturing

Computer Vision

Deep Computer Vision models for: scene understanding, object detection and recognition and tracking; classification; depth analysis
Stereo vision and depth mapping
Image fusion
Dynamic multi aperture calibration
Heterogeneous computing (MT CPU, GPU, DSP, unified-memory architecture)
Mobile camera software architecture
UI/UX design for camera applications