3 months ago
Houston, TX, USAIntern
Responsibilities
- Implement and benchmark next-generation architectures for multimodal perception, online mapping, behavior prediction, and world models.
- Own a targeted research project from data analysis through model verification under senior mentorship.
- Train, tune, and optimize deep learning models using large-scale compute clusters and truck datasets.
Requirements
- Current Master’s or Ph.D. candidate in computer science, robotics, or a related field focused on deep learning, computer vision, robotics, or a related area.
- Proficiency in Python and PyTorch with clean coding practices.
- Solid understanding of modern AI architectures, especially Transformers.
- Availability to work full-time for at least 3 months.
- Preferred experience with multisensor perception, generative AI or diffusion, motion prediction, or end-to-end autonomous driving.
- Preferred publications or submissions to conferences such as CVPR, ICCV, NeurIPS, ICLR, or ICRA.
- Experience with Linux, Git, C++, TensorRT, or ONNX is a plus.
Benefits
- 3-6 month internship
- Full-time availability for at least 3 months
- Work on real-world autonomous trucking edge cases with senior mentorship
About Bot Auto
Bot Auto develops and operates Level 4 autonomous trucks, selling freight capacity as Transportation-as-a-Service to shippers rather than licensing technology. The Houston-based, privately held company (founded 2023) owns the trucks and runs end-to-end operations, pairing fleet operators with autonomy engineers to deploy long-haul routes. Its platform spans autonomy software, vehicle controls, sensors, compute, and fleet operations with a documented safety case for commercial freight service.