Onsite Deep Learning Performance Architect

Posted last week

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About the role

  • Deep Learning Performance Software Engineer at NVIDIA specializing in GPU-accelerated deep learning software development. Collaborating across teams to implement innovative algorithms for inference.

Responsibilities

  • 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

Requirements

  • 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

Job title

Deep Learning Performance Architect

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Postgraduate Degree

Tech skills

Location requirements

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