Bachelor of Science in Computer Science, Electrical, Mechanical Engineering or equivalent engineering degree from an ABET accredited university
Essential Skills
Demonstrated knowledge of ADAS/Autonomous Driving features and relative electronic architectures
3 or more years of proactive coding experience in C, C++, Python
2 or more years of experience in Perform validation of ADAS features using automated test suites and system test validation which are aligned with ADAS/AD product requirements
2 or more years of experience in SIL, HIL or bench testing with particular focus on dSPACE tools (ControlDesk, MotionDesk, etc.)
Demonstrated knowledge about CAN and Automotive Ethernet networks
Knowledge of network and diagnostic test protocol and tools (eg. INCA, Canalyzer, Canoe)
Demonstrated knowledge about software testing toolsets and languages
Demonstrated ability to successfully accomplish tasks under minimal supervision
Ability to communicate effectively with team members and customers
Demonstrated ability to quickly learn software toolset and language
Desired Skills
Master of Science in Computer Science, Electrical, Mechanical Engineering or equivalent engineering degree from an ABET accredited university
Demonstrated knowledge of OpenScenario and OpenDrive
Experience in using the simulator's API using python to interact with the simulator
3 or more years of experience in AD scenario based simulation, either based on open source
Familiar with software DevOps or CI/CD setting and test tools: Docker, Airflow, Jenkins
Demonstrated Knowledge of Matlab/simulink Carsim
1 or more years of experience with: Pytest, CAPL, Canoe.Diva
Knowledge of Classic AUTOSAR or Adaptive AUTOSAR
Knowledge of DLT, Diagnostics over IP and UDS protocol
Working level knowledge of ALM tools (e.g. IBM Doors, Polarion, Codebeamer)