Deep Learning Performance Software Engineer

Responsibilities

• 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!

Additional Information

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.

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Company Intel

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