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Software engineer Intern, ML Accelerator/GPU Programming

TuSimple

Software engineer Intern, ML Accelerator/GPU Programming

Mountain View, CA
Internship
Paid
  • Responsibilities

    Job Description


    _For immediate consideration, please send you resume to: _ internship_heterogeneous_computing_gpu_be7c44382us@ivy.greenhouse.io


    COMPANY OVERVIEW

    Come join a higher calling and find a deeper purpose!   

    As a multi-national Artificial Intelligence Technology Company, we are at the epicenter of the Autonomous Vehicle Universe. Our breakthroughs are leading the industry in autonomous trucking.  

    While inventing the framework of Autonomous Driving, our current fleet of autonomous Trucks are helping communities receive much-needed supplies and medical equipment around the clock.   Our people are some of the most talented engineers and contributors who are leaving behind a historic legacy.  

    TuSimple was founded half a decade ago with the goal of bringing the top minds in the world together to achieve the dream of a driverless truck solution. With a foundation in computer vision, algorithms, mapping, and Artificial Intelligence, TuSimple is working to create the first global commercially viable AUTONOMOUS FREIGHT NETWORK.

     

    Example projects we are working on include:

    • Accelerating existing algorithms using CUDA and GPU.
    • Minimizing hardware resource usage, e.g. GPU memory footprint, through proper resource management.
    • Building GPU-accelerated Machine Learning Library.

    WHAT YOU'LL DO:

    • Test, bench, and build tools for benchmarking ML algorithms on the hardware accelerator.
    • Design and develop new GPU operators with high-quality codes.
    • Analyze the software and identify potential performance bottlenecks.

    WHAT YOU'LL BRING:

    • BS/MS in Computer Science or other related fields
    • Solid understanding of GPU/CUDA
    • Strong programming skills

    PREFERRED:

    • Development experiences in Machine Learning Libraries, such as PyTorch, TensorFlow, TVM, MXNet
    • Experience in arm-based embedded systems/Nvidia Drive products
    • Strong System Skills (Operating System, Parallel Computing, Computer Architecture)

    PERKS

    • Work with world class AI Engineers
    • Shape the landscape of autonomous driving
    • Competitive salary
    • Daily breakfast, lunch, and dinner

    _For immediate consideration, please send you resume to: _ internship_heterogeneous_computing_gpu_be7c44382us@ivy.greenhouse.io


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