Deep Learning Performance Architect

5 Months ago • 5 Years + • Research Development

Job Summary

Job Description

NVIDIA seeks a Deep Learning Performance Architect to develop highly optimized deep learning kernels for inference. Responsibilities include performance optimization, analysis, and tuning; collaboration with cross-functional teams across automotive, image understanding, and speech understanding; occasional travel for technical consultation and training. The ideal candidate possesses a Master's or PhD in a relevant field (CE, CS&E, CS, AI), strong C/C++ and software design skills, and GPU programming experience (CUDA or OpenCL). Experience with performance modeling, profiling, debugging, and code optimization is also required. Agile skills and Python experience are beneficial.
Must have:
  • Master's or PhD in relevant field
  • Strong C/C++ & software design skills
  • GPU programming (CUDA/OpenCL)
  • Performance optimization & analysis
  • 5+ years relevant experience
Good to have:
  • Agile skills
  • Python experience
  • Performance modeling & profiling

Job Details

We are now looking for a Deep Learning Performance Software Engineer! We are expanding our research and development for Inference. 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. Collaborate with the deep learning community to implement the latest algorithms for public release in Tensor-RT. 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 highly optimized deep learning kernels for inference

  • Do performance optimization, analysis, and tuning

  • Work with cross-collaborative teams across automotive, image understanding, and speech understanding to develop innovative solutions

  • Occasionally travel to conferences and customers for technical consultation and training

What we need to see: 

  • Masters or PhD or equivalent experience in relevant discipline (CE, CS&E, CS, AI)

  • SW Agile skills helpful

  • Excellent C/C++ programming and software design skills

  • Python experience a plus

  • Performance modelling, profiling, debug, and code optimization or architectural knowledge of CPU and GPU

  • GPU programming experience (CUDA or OpenCL) desired

  • 5 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!

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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