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Listed location: China, Shanghai | China, Beijing
Work arrangement: onsite. A remote label does not confirm worldwide eligibility or visa sponsorship.
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Job description supplied by NVIDIA; category and skill labels may be inferred. How our listings work · Report a problem
Job Description
We are now looking for Compute/DL Architecture Performance Optimization Interns in our group! Are you passionate about exploring computer architectures for deep learning? Do you enjoy working at the intersection of hardware and software? NVIDIA is looking for world-class programmers and performance architects who like to continuously explore and mine the ultimate performance of each operator (or fusion operator) in deep learning networks, design and develop scalable modular infrastructure that can ship these highly optimized operators to different NVIDIA software libraries for training and inference.
What you'll be doing:
Develop high performance operators on NVIDIA GPUs for cuBLAS, TensorRT, cuDNN, cuSparse and cuTensor libraries
Analyze the performance of various GPU kernels on existing/new architecture, identify bottlenecks and propose creative solutions to improve them
Design and develop software for kernel authoring and shipping
Adopt cutting-edge AI technologies in GPU kernel or similar development workflow
What we need to see:
Pursuing a B.S., M.S., or PhD degree in computer science (or similar)
Strong programming skills in C/C++ and Python development
Familiar with GPU programming model and CUDA
Good understanding about compiler technologies and experience with LLVM and MLIR
Excellent problem solving skills, good communication and teamwork
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
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Frequently asked questions
Is the AI Computing Software Intern, GPU Kernel Libraries - 2027 position at NVIDIA remote?
The AI Computing Software Intern, GPU Kernel Libraries - 2027 role at NVIDIA does not have a confirmed remote arrangement in our data. Check the employer description for its work location.
What type of employment is the AI Computing Software Intern, GPU Kernel Libraries - 2027 role?
NVIDIA is hiring for a full-time AI Computing Software Intern, GPU Kernel Libraries - 2027 position.
Which skills are mentioned for the AI Computing Software Intern, GPU Kernel Libraries - 2027 job at NVIDIA?
Detected skill labels include Python, CUDA, GPU. Check the employer description to distinguish required skills from preferred experience.
How do I apply for the AI Computing Software Intern, GPU Kernel Libraries - 2027 position at NVIDIA?
You can apply for the AI Computing Software Intern, GPU Kernel Libraries - 2027 role directly through NVIDIA's official application link provided on this page.