NVIDIA
SystemSoftwareEngineer,GPUDevelopmentTools
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“System Software Engineer, GPU Development Tools at NVIDIA. Skills: System Software Engineering, GPU Development Tools, C/C++, Python, AI, operating system kernels, device drivers, GPU APIs, chip simulation, systems architecture. developing high-level chip models. test APIs”
What You'll Achieve.
enable our incredible pace of delivering new technology to market; help produce the next greatest generation of GPUs; understand application performance today and model competition-destroying performance for tomorrow
Industry & Context.
analysis tools
What They're Looking For.
Must Have
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, C/C++ is a must-have capability, Fluent in written and spoken English
Nice to Have
Python programming experience, AI related knowledges, Know-how working on operating system kernels or writing device drivers with 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, Advanced programming expertise with full-stack web based visualization technologies
What You'll Do.
developing high-level chip models
trace generation workflows
engineer and improve the core infrastructure for execution
Improve the daily workflows of the world’s top chip modelers and designers
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
How You'll Work.
Team & Collaboration
Coordinate with architecture and software teams
Communication Scope
Fluent in written and spoken English
Full Job Description
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:
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