System Software Engineer, GPU Development Tools

A key part of NVIDIA's strength is our sophisticated development tools and modelling environments that enable our incredible pace of delivering new technology to market. We are looking for forward-thinking, hard-working, and creative people to join a multifaceted software team with high production-quality standards. This software engineering role involves developing high-level chip models, test APIs and trace generation workflows, and analysis tools. As a member of the software development team, you will engineer and improve the core infrastructure for execution, automation, and debugging the development of large-scale, general-purpose graphics and computing chips. This infrastructure enables our driver stack, applications, tests, and studies to run unchanged on all functional, diagnostic, and performance models. What you’ll be doing: • This role will require you to play a critical part in every stage of development of a GPU! • Improve the daily workflows of the world’s top chip modelers and designers to help produce the next greatest generation of GPUs. • Empower GPU architects to understand application performance today and model competition-destroying performance for tomorrow. • Coordinate with architecture and software teams to enable functional and performance testing for the next architecture. What we need to see: • Bachelor's or higher degree in Computer Science, Computer Engineering, or related major • 2+ years of experience • Aptitude to work across the GPU, driver, and application stacks • Strong C/C++ is a must-have capability • Fluent in written and spoken English • Python programming experience (a plus). • AI related knowledges (a plus) Ways to stand out from the crowd: • Know-how working on operating system kernels or writing device drivers with strong systems-level debugging skills • A knowledge of GPU APIs such as DirectX, CUDA, Vulkan or OpenGL • Experience with chip and/or system simulation • Deep understanding of systems architecture: CPU, GPU, memory, display, buses, kernel internals would be helpful • Advanced programming expertise with full-stack web based visualization technologies to help provide data insights.