Master’s degree or above in Computer Science, Vehicle Engineering, Artificial Intelligence, Electronic Information, Mechatronics, Communications Engineering, or a related field.
Required Previous Experiences
Hands-on experience building a test Harness engineering framework from scratch
Expertise in autonomous driving simulation testing technologies
Proficiency with CARLA, VTD, PreScan, and automated test script development
ROS production project development and debugging on Linux or QNX
Extensive intelligent-driving domain controller software development
At least two production or key-customer projects applying path planning algorithms
Experience with production automated parking projects
Preferred Qualifications
Familiarity with vehicle longitudinal and lateral control algorithms
Familiarity with parking perception solutions, low-speed vehicle sensors, and multi-sensor fusion
Experience using LLMs to accelerate ADAS development, testing, or issue analysis