The NVIDIA AI Computing 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. We are continuously pushing the envelope and building the next generation of tools and infrastructure to enhance future architectures. This work will enable deeper insights that directly impact the design of the world’s most powerful computing platforms.
What you’ll be doing:
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 AI Computing 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
What we need to see:
BS or higher degree in computer science or equivalent experience
3+ years of working experience in relevant fields
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
Ways to stand out from the crowd:
Experience with CUDA and GPU computing systems
Experience as an active contributor to a SW project involving many developers
Deep understanding of the software performance analysis and optimization process
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