ADAS Validation Engineer

Qualifications

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 environment 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)

Experience

3 to 5 yrs relevant experience.

Skills Required

Devops, Pytest