This is a meaningful and security-oriented role contributing to homeland defense, located at the companys headquarters in Or Yehuda.
Role Description:
Develop and implement data fusion algorithms from various sensors (Track-level / Sensor-level Fusion).
Process sensor data, including noise filtering and time synchronization.
Apply and enhance advanced filters such as the Kalman filter.
Build and evaluate statistical models for different sensors across various coordinate systems (WGS-84, UTM, ECEF, etc.).
Develop error bias calculation algorithms for active and passive sensors (radars, SIGINT).
Integrate and implement algorithms in Real-time / Near Real-time systems.
Participate in lab and field experiments, conduct performance analysis, and produce reports.
Requirements: B.Sc./M.Sc. in Computer Science, Physics, or Mathematics.
At least 3 years of industry experience developing data fusion/target tracking algorithms.
Strong knowledge of filters and Data Association/Fusion.
Proficiency in C++ / Java / C# and Python / Matlab.
Ability to integrate into a complex, multi-layered system.
Strong self-learning skills and high personal responsibility.
Good documentation and technical writing skills in English.
Availability for ~2530 overtime hours per month.
Team player with excellent interpersonal skills.
This position is open to all candidates.