Bot Auto
Posted 73 days agoVerified live 2d ago
Intern, Deep Learning Engineer
Brief overview
Houston, TXIn-person
MastersOr in progress
47 H-1B approvalsDept. of Labor
PythonPyTorchTransformersDeep LearningComputer VisionRoboticsMulti-sensor PerceptionGenerative AIDiffusion ModelsMotion PredictionEnd-to-End Autonomous DrivingLinuxGitC++TensorRTONNX
About the company
Bot Autobot.auto
Autonomous vehicle and robotics company focused on cutting-edge research and development.
Visa sponsorship history
3 years sponsoring, last filed FY2026H-1B dependent
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.47H-1B approved
100%approval rate
7new H-1B hires
$200,000median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20232
202422
202523
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
202314
202419
20261
Top sponsored roles
Associate Director - Senior Research ScientistSenior Computer Systems EngineerTech Lead-Computer and Information Research ScientistStaff Program Manager - AutomotiveMechanical Engineer
Job description
Summary
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.
Responsibilities
- Implement and benchmark next-gen architectures (e.g., Multi-modal perception, Online Mapping, Behavior Prediction, World Model)
- Own a targeted research project from data analysis to model verification under senior mentorship
- Train, tune, and optimize deep learning models using our large-scale compute clusters and truck datasets
Skills
- 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
- Proficient in Python and PyTorch with clean coding practices
- Solid understanding of modern AI architectures, especially Transformers and its applications in different fields
- Available full-time for at least 3 months
- Academic thesis or project experience in Multi-sensor Perception, Generative AI/Diffusion, Motion Prediction, or End-to-End Autonomous Driving
- Publications or submissions at top conferences (e.g., CVPR, ICCV, NeurIPS, ICLR, ICRA)
- Experience with Linux, Git, C++, or deployment tools like TensorRT/ONNX
Qualifications
Must Haves
- 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
- Proficient in Python and PyTorch with clean coding practices
- Solid understanding of modern AI architectures, especially Transformers and its applications in different fields
- Available full-time for at least 3 months
Nice to Haves
- Academic thesis or project experience in Multi-sensor Perception, Generative AI/Diffusion, Motion Prediction, or End-to-End Autonomous Driving
- Publications or submissions at top conferences (e.g., CVPR, ICCV, NeurIPS, ICLR, ICRA)
- Experience with Linux, Git, C++, or deployment tools like TensorRT/ONNX
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