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.

Cyient recruits, employs, trains, compensates, and promotes regardless of race, color, ancestry, religion, sex, national origin, ****** orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran status, and other protected status as required by applicable law. We are proud to be a diverse and inclusive company where our people can focus their whole self on solving problems that matter