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Deep Learning Performance Software Engineer

NVIDIA· Architect
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Hybrid (Shanghai), Hybrid (Beijing)full-timePosted 1mo ago

About the role

Deep Learning Performance Software Engineer (Senior/Software Engineer) at NVIDIA, focusing on GPU-accelerated deep learning for inference, performance optimization, and collaboration across automotive, image understanding, and speech understanding domains.

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

Qualifications

  • Masters or PhD or equivalent experience in CE, CS&E, CS, or 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

Skills

Required:C/C++ programmingPerformance modelling and profilingCPU/GPU architecture
Nice to have:PythonGPU programming
Last updated Aug 28, 2026. Interested? Apply on the company site.

About NVIDIA

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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