# Deep Learning Engineer Intern at Bot Auto

- Company: [Bot Auto](https://bot.auto)
- Location: Houston, TX
- Type: Internship · Internship
- Posted: 2026-07-02
- Apply: https://job-boards.greenhouse.io/botauto/jobs/5289440008
- Page: https://newgrad.ai/jobs/deep-learning-engineer-intern-1294efe4

## Summary by newgrad.ai

What you'll do:

- Build and evaluate cutting-edge neural network models for self-driving truck technology.
- Lead a focused research initiative from initial analysis through final model testing.
- Fine-tune deep learning systems on distributed hardware using real vehicle data.

What they're looking for:

- Enrolled in a Master's or Ph.D. program studying computer science, robotics, or similar.
- Strong coding skills in Python and PyTorch; grasp of Transformer-based models.
- Able to commit full-time for a minimum of three months.
- Preferred: background in sensor fusion, diffusion models, trajectory forecasting, or end-to-end driving systems.

## Posting

### About Bot Auto

Bot Auto is revolutionizing autonomous trucking by combining start-up agility with the wisdom of seasoned experts. We are looking for MS/PhD interns to join our core AI team for a 3-6 month internship to tackle real-world edge cases.

### Key Responsibilities

- SOTA Prototyping: Implement and benchmark next-gen architectures (e.g., Multi-modal perception, Online Mapping, Behavior Prediction, World Model).

- Project Ownership: Own a targeted research project from data analysis to model verification under senior mentorship.

- Scale Experimentation: Train, tune, and optimize deep learning models using our large-scale compute clusters and truck datasets.

### Qualifications

Required:

- Education: Current Master's or Ph.D. candidate in CS, Robotics, or a related field, specifically focusing on Deep Learning, Computer Vision, Robotics, or related fields.

- Technical Stack: Proficient in Python and PyTorch with clean coding practices.

- Theoretical Core: Solid understanding of modern AI architectures, especially Transformers and its applications in different fields.

- Commitment: Available full-time for at least 3 months.

Preferred:

- Research Focus: Academic thesis or project experience in Multi-sensor Perception, Generative AI/Diffusion, Motion Prediction, or End-to-End Autonomous Driving.

- Track Record: Publications or submissions at top conferences (e.g., CVPR, ICCV, NeurIPS, ICLR, ICRA).

- Engineering Plus: Experience with Linux, Git, C++, or deployment tools like TensorRT/ONNX.

From Bot Auto's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.

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More new-grad and intern roles: https://newgrad.ai/llms.txt