System Software Engineer, GPU Development Tools at NVIDIA

Shanghai, Shanghai, China -

Full Time

Start Date

Immediate

Expiry Date

23 Jul, 26

Salary

0.0

Posted On

24 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

C, C++, Python, GPU Architecture, System Simulation, Driver Development, Kernel Internals, DirectX, CUDA, Vulkan, OpenGL, Debugging, Performance Analysis, Automation, Chip Modeling, Full-stack Visualization

Industry

Computer Hardware Manufacturing

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: 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. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

Responsibilities

You will develop high-level chip models, test APIs, and trace generation workflows to support GPU development. Additionally, you will collaborate with architecture and software teams to improve infrastructure for functional and performance testing.