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Job at NVIDIA

Deep Learning Performance Software Engineer

Employer
NVIDIA
Location
China, Beijing · China, Shanghai
Workplace
Not supplied
Employment
full-time
Published
First listed on USASI

Apply on NVIDIA’s site (external site)

This posting comes from NVIDIA’s own Workday job board. USASI checks that board twice a day and removes this page once the employer closes the posting. The description below is NVIDIA’s text as published; USASI does not edit it, does not recruit, and does not take applications. How jobs are collected.

Job description

We are now looking for a Deep Learning Performance Software Engineer!

We are expanding our research and development for deep learning. We seek excellent Software Engineers and Senior Software Engineers to join our team. We specialize in developing GPU-accelerated Deep learning software. Researchers around the world are using NVIDIA GPUs to power a revolution in deep learning, enabling breakthroughs in numerous areas. Join the team that builds software to enable new solutions. Your ability to work in a fast-paced customer-oriented team is required and excellent communication skills are necessary.

What you’ll be doing:

  • Develop compilers and DSLs for deep learning workloads
  • Design and implement highly optimized deep learning kernels
  • Continuously improve the compiler architecture for current and next generation chips
  • Perform performance analysis on emerging AI workloads and integrate with AI frameworks

What we need to see:

  • Master's or Ph.D degree (or equivalent experience) in relevant discipline (CE, CS&E, CS, AI)
  • Excellent C/C++ programming and software design skills
  • Experience with XLA, TVM, MLIR, LLVM, deep learning models and algorithms
  • 3+ years of relevant work experience

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people on the planet working for us. If you're creative and autonomous, we want to hear from you!

Apply on NVIDIA’s site (external site)

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