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Nvidia Senior Inference Performance Architect - Deep Learning 
United States, Texas 
455167402

24.06.2024

What you’ll be doing:

  • Analyze performance and power efficiency of the most important deep learning inference workloads

  • Understand and analyze the interplay of hardware and software architectures on forward-looking algorithms, programming models and applications

  • Identify and prototype opportunities for performance optimization

  • Actively collaborate with software, product and research teams to guide the direction of deep learning HW and SW

What we need to see:

  • MS or PhD in a relevant discipline (CS, EE, CE) or equivalent experience

  • 6+ years of relevant work/research experience

  • Solid foundation in machine learning and deep learning

  • Excellent programming skills in Python, C, C++

  • Strong background in computer architecture

  • Experience with performance modeling, architecture simulation, profiling, and analysis

  • A track record of creative solutions to technical challenges

Ways to stand out from the crowd:

  • CUDA programming skills

  • Background with deep neural network training, inference and optimization in leading frameworks (e.g. Pytorch, Tensorflow, TensorRT)

  • Experience with the architecture of or workload analysis on GPUs or other DL accelerators

You will also be eligible for equity and .