Deep learning software engineer

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