Join Our Team

Join Our Team

Computer Vision Developer

Ness Ziona · Full-time · Mid

About The Position


About the company  

Foresight, AKA Foresight Autonomous Holdings Ltd. (NASDAQ and TASE: FRSX), is a growing startup company that develops solutions and safety features for the autonomous driving industry. Foresight developed cutting edge unique stereo and perception technology to enhance the vision capabilities of the next generation of autonomous vehicles, enabling the use of any camera pair (position, lens parameters, wavelength etc.) 


Job description: 

Seeking a skilled Computer Vision Researcher specializing in camera calibration and computational geometry to join our team. Take a key role in enhancing Foresight's calibration and automatic recalibration capabilities. Conduct comprehensive literature reviews, implement state-of-the-art methods, and perform rigorous testing and evaluation. Utilize CPP and Python environments to develop optimization techniques for accurate camera parameter estimation. Explore advancements in deep learning methods. Join our innovative team and make a significant impact in revolutionizing the industry. 



Technical knowledge and Qualifications: 

  • M.Sc. from a top university in Computer Science / Engineering / Math – Mandatory. PhD – Advantage 
  • At least 3 years of experience in computer vision algorithm research. (must) 
  • Excellent programming skills in C/C++. (must) 
  • Knowledge of Python. (must) 
  • Background in some of these technologies: cameras calibration / multi-view geometry / SLAM / SFM. (must) 
  • Great problem-solving skills and drive for innovation. (must) 
  • Good understanding of basic concepts in Computer vision, such as: detection, segmentation, stereo, registration, augmentations, etc. (advantage) 
  • Knowledge in inertial sensors, i.e. calibration, motion tracking (advantage) 
  • Publications in top conferences in computer vision (advantage) 
  • Hands on experience with embedded systems (advantage) 
  • Experience in network acceleration methods (advantage) 



  • Willing to commute to Park Ha'Mada Rehovot (accessible by train). 
  • Hybrid office / remote combination. 


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