ADAS Calibration Engineer

Responsibilities

• Calibrate lateral/longitudinal performance of ADAS features across multiple programs and vehicle variants for features such as Lane Centering, Assisted Lane Change, Adaptive Cruise Control, and Blue Cruise
• Lead program sign-off of vehicle level performance for ADAS features
• Lead the development of objective performance metrics, calibration guidelines, test procedures, and validation plans for ADAS features such as Lane Centering, Assisted Lane Change, Adaptive Cruise Control, and Blue Cruise
• Work with virtual validation teams to establish CAE procedures to reduce dependence on vehicle‑level testing
• Interface with functional partners in brakes, steering, and/or powertrain to ensure actuator performance is sufficient to meet vehicle‑level requirements
• Plan and execute on‑track and real‑world evaluations of ADAS features via vehicle/HIL/virtual testing and identify and resolve feature performance issues
• Design validation methods to ensure feature robustness across vehicle configurations, environmental conditions and customer usage
• Develop pre/post processing tools using MATLAB and Vector CAN tools for data collection and analysis
• Implement various data analysis techniques on data generated by track, public road, lab, and model‑based validation methods to ensure feature achieves a desired set of performance requirements
• Support and coordinate root‑cause analysis with internal functions and external suppliers to ensure delivered system achieves performance requirements
• Benchmark competitors and monitor public domain requirements

• B.S. in Engineering (Electrical, Mechanical, or Computer Science) or related technical field
• 2+ years of experience in calibration of features and/or attributes for vehicle systems (electrical, chassis, powertrain, vehicle dynamics), preferably in the Driver Assistance domain
• 1+ year of experience using Vector CANape, CANalyzer, and/or dSPACE Control Desk or similar tools
• 1+ year of experience with MATLAB/Simulink
• 1+ year of experience using typical automotive interfaces: CAN, CANFD, Autosar, Auto-Ethernet, etc.
• M.S. in Engineering (Electrical, Mechanical, or Computer Science) or related technical field (even better)
• Experience in developing objective metrics that are well-correlated to subjective evaluations (even better)
• Experience with high performance driving and vehicle performance evaluation (even better)
• Experience in feedback controls design, application, and theory (even better)
• Experience applying Systems Engineering (even better)
• Experience in authoring new requirements (even better)
• Experience in verification techniques (design verification methods, vehicle data acquisition/analysis) (even better)
• Troubleshooting experience with electromechanical systems (even better)
• Experience with failure mode analysis techniques (even better)
• Experience reviewing, categorizing, and analyzing field data to determine error states/failure modes (even better)
• Project management experience (even better)
• Experience with virtual validation methods (HIL/MIL/SIL) (even better)
• Strong leadership skills, passion for quality, passion to improve customer satisfaction (even better)
• Good communications and project management skills (even better)
• Strong oral & written skills (even better)
• Ability to work both independently and take initiative when necessary (even better)
• Strong teamwork & interpersonal skills (even better)