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.
  
  

• 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.