Machine Learning Engineer – End-to-End Driving
| Company | 42dot |
|---|---|
| Location | Mountain View, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Master’s, PhD |
| Experience Level | Senior, Expert or higher |
Requirements
- Minimum of 7 years of relevant experience
- A master’s/doctor’s degree or higher, or equivalent experience in computer science, electronics, or related fields
- Deep understanding and practical experience in learning self-driving systems and deep learning models
- Deep understanding of vehicle dynamics models
- Superior programming skills (C/C++, Python, etc.)
- Mathematical reasoning ability related to probability
Responsibilities
- Research and development of motion prediction algorithms for autonomous driving such as surrounding vehicles and pedestrians
- Exploring predictive algorithms, prototyping, and validating
- Modeling data-driven driving algorithms
- Deploying models to autonomous driving systems by optimizing and improving the performance of algorithms
- Work with Perception/Planning engineers to improve self-driving performance
- Development of evaluation indicators and systems to evaluate developed algorithms
Preferred Qualifications
- Experience in research and development related to autonomous driving and robotics
- ROS1/ROS2 experience
- Experience deploying predictive models in real-world environments
- Inference optimization experience (TensorRT, CUDA programming, etc.)
- History of books/academic activities in related fields (CVPR, ICCV, ECCV, IROS, ICRA, etc.)