Intelligent Driving Test Analysis Engineer
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Job Description:
• Responsible for L2 level autonomous driving actual vehicle function verification
• Responsible for performance calibration matching testing
• Mainly responsible for urban autonomous driving testing
• Mainly responsible for high-speed autonomous driving testing
• Mainly responsible for high-performance active safety scenario testing
• Responsible for functional joint debugging
• Responsible for performance acceptance of related sensors and actuators
• Responsible for conducting special system testing for all functional modules.
• Responsible for raising system issues.
• Collaborate with the software R&D team to solve problems and improve performance experience.
• Responsible for special verification of domestic mainstream evaluation systems
• Assisting in the iterative improvement of the system
• Formulate real vehicle test plans according to project needs.
• Arrange and manage system-level scale road tests as needed.
• Maintain test vehicles.
• Maintain test environments.
• Maintenance and repair of vehicles and related equipment

Qualifications:
• Understand the mainstream autonomous driving technology routes.
• Have a good understanding of the technical implementation solutions for autonomous driving.
• Be familiar with the typical functions of driving assistance systems.
• Understand the system design logic of driving assistance systems.
• Understand development requirements management.
• Understand system solution design.
• Understand vehicle-side system function and performance matching calibration.
• Work on test and verify scheme design and implementation.
• Be familiar with the interaction and performance indicators between actuators involved in driving assistance systems.
• Understand typical target fusion logic.
• Understand trajectory planning control.
• Be able to identify the data flow of each module in the system functional link transfer relationship.
• Proficient in vehicle driving skills.
• Have a driving mileage of more than 10,000km.
• Have management experience in large-scale road test verification of vehicles.
• Able to accurately report and track and solve problems discovered during the road test process.
• Experience in leading a team is preferred.
• For sensors, have a complete understanding or solution idea of the data acquisition system.
• Be familiar with Linux or ROS environment.
• Have experience in using lidar.
• Have software skills: CANoe/CANape, etc.