NVIDIASystem Software Engineer, GPU Development Tools
NVIDIA is hiring a System Software Engineer, GPU Development Tools in Shanghai, China. Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Little AI ●○○○ is how Level rates this software engineer role: aI is not part of the work.
- The posting mentions C, Python and CUDA among its tools and skills.
- Level classes it as a mid-level role.
- NVIDIA has 2,600+ other open roles on Level.
AI in this role
Develop high-level chip models, test APIs, and trace generation workflows for NVIDIA's next-generation GPUs.
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.
How we rate this
System Software Engineer, GPU Development Tools at NVIDIA rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- Typical software engineer job
- $168k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- Tell me about a project where software engineering was part of your work. What did you do?
- Tell me about a project where gpu architecture was part of your work. What did you do?
- Tell me about a project where systems programming was part of your work. What did you do?
- Tell me about a project where debugging was part of your work. What did you do?
- Walk me through how you've used C in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Software Engineering, GPU Architecture, Systems Programming, Debugging, and C. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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