Depending on domain (control, sensor fusion, embedded development), the candidate will potentially work on embedded C, Simulink dSPACE, ADTF, Linux programming.
Control algorithm development
The candidate must demonstrate ability to independently perform control algorithm evaluation and selection, dynamic modeling, estimation and control system analysis and design.Autonomous driving domain development - Path-planning, Lat/Long control, Sensor fusion, Safety measurement, Diagnosis, Failure safe strategy, Vehicle inter-ECU communication (CAN, LIN, FlexRay, UDP, TCP)ADAS applications development Experience with one or more of the following - Traffic Jam Pilot, Lane centering, Automatic Lane Change, Adaptive Cruise Control, Lane Keep Assist, Automatic Emergency Brake, Blind Spot Alert, Cross Traffic Alert, etc.
Algorithm development including: Lane centering, Automatic Lane Change, Adaptive Cruise Control, Lane Keep Assist, Forward Collision Warning, Emergency Automatic Brake, Blind Spot Alert, Cross Traffic Alert, etc.
Data analysis to assess and correct performance deficiencies
In-Vehicle testing and debugging with dSPACE/ControlDesk and CANoe
Function demonstration to OEMs and customer requirement implementation
Optimization for real-time implementation
Assist in developing and implementing test plans from the unit level to vehicle level and conduct test-driven development in later phase.
Bachelors degree in engineering
Experience in Embedded C, C++
3 + years of work experiences in the related field
Experience in software development
System knowledge of variant electric and electronic vehicle architectures
ADAS sensor sets including Radar, Lidar or Camera technology
Masters degree in engineering
Experience in Python, Linux
Matlab Simulink and dSpace Micro-Autobox
Experience in designing and implementation functional safety standard (ASPICE, ISO26262)
Knowledge in vehicle network standard like CAN, LIN, FlexRay, TCP, UDP