# System Software Engineer, GPU Development Tools

**Company**: NVIDIA
**Location**: Shanghai
**Experience**: mid
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/System-Software-Engineer--GPU-Development-Tools_JR2016503-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_15f90d0f-e32

## 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.

**Responsibilities:**

- 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.

**Requirements:**

- 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 knowledge (a plus).

**Nice to Have:**

- 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.

## Skills

### Required
- C/C++
- Python
- GPU APIs
- Operating System Kernels
- Device Drivers
- Systems Architecture

### Nice to have
- AI
- Chip Simulation
- System Simulation
- Full-Stack Web-Based Visualization

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/China-Shanghai/System-Software-Engineer--GPU-Development-Tools_JR2016503-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)