Tell us about a time when you encountered a technical issue during vehicle system testing. How did you resolve it?

During one of my previous roles as a Vehicle Systems Engineer, I encountered a technical issue during vehicle system testing. We were testing the propulsion system of a new electric vehicle prototype, and we discovered that the battery was not providing sufficient power to the motor. To resolve this issue, I first analyzed the battery's performance data and identified a potential software glitch that was affecting the power output. I then worked closely with the software development team to modify and optimize the battery management system. After implementing the software updates, we retested the vehicle and observed a significant improvement in power delivery. This experience taught me the importance of thorough data analysis and collaboration across teams to quickly identify and resolve technical issues during testing.

During my time as a Vehicle Systems Engineer, I came across a technical issue while conducting vehicle system testing. We were evaluating the control system of a hybrid electric vehicle when we noticed a discrepancy in the torque output between the engine and the electric motor. To resolve this issue, I performed a detailed analysis of the control algorithms and identified a parameter mismatch that was causing the imbalance. I collaborated with the software development team to modify the control code and recalibrated the torque sensors. After implementing these changes, we retested the vehicle and confirmed that the torque balance had been restored. This experience highlighted the importance of meticulous system analysis, collaboration with cross-functional teams, and attention to detail in resolving technical issues during vehicle testing.

During my tenure as a Vehicle Systems Engineer, I encountered a complex technical issue during the testing phase of a new autonomous vehicle system. We were evaluating the performance of the perception module when we noticed a recurring false-positive detection of obstacles in certain lighting conditions. To address this issue, I led a cross-functional team consisting of hardware, software, and algorithm engineers to conduct a root cause analysis. Through extensive data analysis and testing, we determined that the false positives were caused by a combination of inadequate calibration of the camera sensor and limited dataset diversity. To resolve this, I developed a comprehensive calibration procedure and spearheaded the collection of diverse datasets to train the perception models. After implementing these solutions, we reevaluated the system and successfully eliminated the false-positive detections. This experience showcased my strong analytical and problem-solving skills, as well as my ability to lead and motivate a team to overcome complex technical challenges.