Computer Vision / Machine Learning Engineer (Autonomous Vehicles)

· Design and implement visual & LiDAR detection and tracking pipeline in the autonomous driving software system

· Work closely with the algorithm team design the specifications for the perception module

· Design and collect datasets for training

· Research and test various method and implement a robust solution on the vehicle

· Test, debug and troubleshoot software-related issues

· Plan and conduct tests (control, failsafe, drive test, etc.) on vehicles to ensure functionality and road-worthiness

· Analyze test data and provide recommendations

Requirements:

1. Computer Science / Computer Engineering / Electrical Engineering undergraduates or relevant experiences
2. 3+ years of experience.
3. Python, C++
4. Tensorflow/PyTorch, OpenCV, PCL, etc
5. Git, CMake tools
6. Hands-on experience with CNN models
7. Familiar with Linux systems (Ubuntu) and the configuration of the system environment
8. Analytical problem-solving skill
9. Ability to work in dynamic and cross-functional “start-up” environment
10. Self-driven learning attitudes and ability to work independently

Preferred:

•  Familiarity with sensor perception, sensor fusion
• Familiar with Robotic Operating System (ROS) middleware