Description
* 6 to 8 years of experience in development of software product requirement analysis to modeling, coding, testing, debugging & implementation for ADAS
* Experience in Deep Learning / Machine Learning based ADAS frameworks features applications; script development for Camera based sensor as well as sensor fusion (Camera + Radar)
* Skilled in programming languages like Embedded C, C++, Python; Model based development / design; System programming, Algorithm Development, Simulation tools such as Mathworks based MATLAB / Simulink
* Well versed with feature testing for ADAS, incl. FCW, AEB, Blind Spot Detection, Lane Assist, Lane detection warning, cruise control, high beam assist etc.
* Good to have experience in producing algorithms derived from open system standard such as OpenCV Yolo model etc
* Ability to implement algorithms from simulation tool on cross-platforms Embedded HW Sosuch as TDA3 EVM, r-Car V3H, nVidia nano etc
Skills & Experience
Algorithms, C++, Debugging, Deep Learning, Embedded C, Lidar, Linux, Machine Learning, MATLAB, Model Development, Problem Solving, Python (Programming Language), Radar, Requirements Analysis, Script Development, Systems Programming
Cyient is an Equal Opportunity Employer.
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