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    Internships/Bot Auto

    Intern, Deep Learning Engineer

    Bot Auto · Houston, Texas, United States

    rollingOn-sitePaidPosted 2026-07-02
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    About the role#

    Bot Auto is seeking Master’s or Ph.D. students to join the core AI team for a 3-6 month internship. This role focuses on solving real-world edge cases in autonomous trucking through research and model development.

    What you'll do#

    • Implement and benchmark next-generation architectures, including multi-modal perception, online mapping, behavior prediction, and world models.
    • Own a targeted research project, managing the lifecycle from initial data analysis to final model verification under senior mentorship.
    • Train, tune, and optimize deep learning models using large-scale compute clusters and proprietary truck datasets.

    What you'll need#

    • Current enrollment in a Master’s or Ph.D. program in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, Mathematics, or Data Science.
    • Proficiency in Python and PyTorch.
    • Strong understanding of modern AI architectures, with a focus on Transformers.
    • Ability to commit to a full-time schedule for at least 3 months.
    • Academic thesis or project experience in relevant areas such as multi-sensor perception, generative AI, motion prediction, or autonomous driving.
    • Preferred: Publications at top conferences (e.g., CVPR, ICCV, NeurIPS, ICLR, ICRA) and experience with Linux, Git, C++, or deployment tools like TensorRT/ONNX.

    Location & details#

    • Location: Houston, Texas
    • Modality: On-site
    • Status: Paid, full-time, rolling term
    • Sponsorship: Not available
    Relevant fields:Computer ScienceElectrical EngineeringMechanical EngineeringMathematicsData Science

    About Bot Auto

    Bot Auto is a privately held transportation company founded in 2023 and headquartered in Houston, Texas. The firm employs between 51 and 200 people to operate a fleet of Level 4 autonomous trucks. It provides transportation as a service to freight customers by focusing on the commercial scaling of autonomous trucking technology.

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