CAREERS

CAMERA SOLUTION (SOFTWARE AND ALGORITHMS) ENGINEER

Job description:

Take part in the development and implementation of cutting edge, highly optimized computer vision and image processing algorithms on mobile platforms.

Optimizing solution for high performance run-time, minimizing memory usage and power consumption. Responsibilities include:

  • Implement algorithmic blocks from scratch, assuming responsibility for all development cycles – design, implementation, debugging, optimization and delivery.
  • Perform code run time and memory footprint optimizations on various platforms.
  • Participate in SW architecture design.
  • Collaborate with team members and colleagues in solving problems and overcoming design challenges.
  • Interface with engineering teams at customers and suppliers sites.

Education

B.Sc. in computer science or Electrical and Computer Engineering, from a certified university, 85+

Qualifications

  • 2-4 years of experience in C/C++ development
  • Object oriented programming experience
  • Experience with applications design and implementation
  • Experience in multi-threaded programming
  • Proven track record of finding bottlenecks and delivering optimized, high-quality code
  • Knowledge in algorithms development and implementation
  • Fast learner, team player, reliable, motivated, hard worker

Desirable

  • Experience in Android NDK development
  • Experience in image processing algorithms
  • Experience in runtime optimizations on embedded accelerators (e.g. Neon, DSP, GPU).
  • Experience in writing OpenCL kernels
  • Experience in Matlab

C.V apply to:

Upload C.V

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