About the role : 

The NVIDIA DL Compute Architecture group is looking for excellent programmer with passion for GPU-accelerated deep learning to develop the core infrastructure for analysis of GPU application performance. A key part of NVIDIA’s strength is our proprietary internal tools for the visualization and analysis of forward-looking applications. The deep learning software engineer work will enable deeper insights that directly impact the design of the world’s most powerful computing platforms.

Responsibilities : 

  • Develop tools that work with the latest generation of GPUs and GPU simulators to provide insight into deep learning application performance
  • Automate performance data analysis and visualization pipelines to convert profiling data into insights for users
  • Support deep learning software engineers and GPU architects in their performance analysis efforts
  • Work with various teams at NVIDIA to incorporate and influence the latest technologies for GPU performance analysis
  • Automate away recurring tasks while employing and advancing best practices
  • Seek out ways to improve the experience of users

Candidate requirements : 

  • BS or higher degree in computer science, or equivalent experience
  • Strong programming skills in Python, C, and C++
  • Solid foundation in operating systems and computer architecture
  • Outstanding ability to understand users, prioritize among many contending requests, and build consensus
  • Passion for “it just works” automation, eliminating repetitive tasks, and enabling team members
Job Overview
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