Deep Learning Performance Architect

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!

Seen 9 days ago · NVIDIA postings close after a median of 43 days.

Original posting on NVIDIA's site ↗

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