Algorithm Development and Analysis Engineer

Trained Parking and SLAM Team develops vision-based navigation technologies for parking, parking lots and other challenging scenarios. Our technology combines classical and deep learning-based computer vision, as well as optimization, signal processing, and mathematical modeling to deliver cutting-edge solutions.
As part of the team, you will play a major role in the development of real-time solutions that meet the demanding accuracy, robustness and latency requirements of ADAS and AV (Autonomous vehicle) applications, as well as analyzing performance and extract data-driven insights
What will your job look like:
Contribute to the design and development of algorithms for vision-based navigation in parking and other challenging scenarios.
Conduct analysis and benchmarking of technology performances.
Develop testing frameworks and assist in validating algorithms on real-world datasets.
Take part in implementation and optimizations to ensure real-time efficiency.
Contribute in maintaining and enhancing the team's products.
All you need is:
B.Sc. in Mathematics, Physics, Computer Science, Electrical Engineering or a related field (M.Sc. or Ph.D. - advantage)
Familiarity with Geometric CV- must.
SLAM (simultaneous localization and mapping) and solvers (e.g., GTSAM) - advantage.
Strong problem-solving skills and ability to analyze complex systems.
Solid understanding of mathematical modeling and optimization techniques.
Experience with Python for algorithm development and data analysis.
Familiarity with GIT, Docker, Jenkins, Pandas, Cloud - advantage.
Experience in development in C++- advantage.
Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) - advantage.
Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!