Deep Learning and Computer Vision Expert
About Foresight
Foresight Autonomous Holdings Ltd. (NASDAQ and TASE: FRSX) is a fast-growing, publicly traded startup revolutionizing the autonomous driving industry. We specialize in cutting-edge stereo vision and perception technologies that empower the next generation of autonomous systems.
Your Role
We’re on the hunt for a passionate and driven
Computer Vision Expert to join our dynamic research team. You'll collaborate with leading scientists and engineers to solve complex, real-time perception challenges at the forefront of autonomous technology.
In this role, you’ll take ownership of the full research-to-production pipeline:
- Own the end-to-end development lifecycle: requirements gathering, literature review, prototyping, experimentation, optimization, and deployment
- Create and manage datasets, validate data integrity, and benchmark performance
- Experiment, optimize, and prepare models for deployment on edge platforms
- Design and implement high-performance computer vision algorithms
- Work closely with cross-functional engineering teams to bring solutions into production on edge devices
You’ll help shape the future of perception for autonomous machines—from research concepts to real-world impact.
Requirements:
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 / VIO (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)
Other
- Willing to commute to Park Ha'Mada Rehovot (accessible by train).
- Hybrid office / remote combination.