Skills
- Strong C++ or Python coding experience
- Familiar with CAN protocol and GPS
- Experience developing embedded firmware for safety-critical systems in production environments
- Experience integrating LIDAR, radar, camera, and ultrasonic hardware with autonomous vehicle systems
- Experience with at least one deep learning framework (TensorFlow, Caffe, etc)
- BS in Engineering/Computer Science with hands-on experience. MS or PhD preferred.
Responsibilities
- Assess project requirements, undertake relevant research, and implement new and utilize existing algorithms
- Create testing procedures, simulation models, and write test driven code
- Manage, train, and tune state-of-the-art deep neural networks
- Source, evaluate and test sensors
- Implement sensor fusion
- Test the product in controlled and real situations
- Collect, process, and manage training data, including training and testing pipelines
- Continual improvement and management of DOT autonomous driving systems
- Ensure DOT operates safely
by via developer jobs - Stack Overflow
No comments:
Post a Comment