ADAS Validation Engineer

In this area we require an engineer with a background in computer science focusing on simulations in ADAS/AD and preferably, with a demonstrated knowledge of Validation Process. He/she will need to be able to write the test cases in python and debug and resolve the test issues with required tools. He/she will need to evaluate the new possible pipelines entering the company. He/she must provide structured feedback to the team lead and support the team for resolving the problems for new test cases 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 simulatorAPI 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.