Solving the autonomous driving problem through cutting-edge R&D in AI, machine learning, and smart connectivity.
Requirements
- Deep knowledge of PyTorch.
- Knowledge of model training framework (e.g. PyTorch Lightning)
- In-depth knowledge of transformer architecture and ways to accelerate the training and inference of transformer models.
- Experience of performing large scale distributed training of models.
- Knowledge of Nvidia TensorRT.
- Experience with cuda or Triton language for writing custom ops.
- Experience with edge computing systems.
Responsibilities
- Design, train, and deploy large deep learning models that can leverage the vast amount of labeled and unlabeled data from a fleet of million vehicles.
Other
- PhD in CS/CE/EE, or equivalent, in industry experience.
- A fun, supportive and engaging environment
- Infrastructures and computational resources to support your work.
- Opportunity to work on cutting edge technologies with the top talents in the field.
- Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving
- Competitive compensation package
- Snacks, lunches, dinners, and fun activities
- A track record of efficiently solving complex problems collaboratively on larger teams
