TPC Arch Intern, GPU SM - 2027
NVIDIA is hiring a TPC Arch Intern, GPU SM - 2027 in Shanghai, China. Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include C, gpu architecture and performance modeling.
- Level classifies it as an internship.
- Level lists 2,700+ other open roles at NVIDIA.
AI in this role
Develop performance and functional simulation models for GPU shader architectures as an intern at NVIDIA.
We are looking for a GPU C++ Modeling Engineer intern – Performance/Functional Modeling, Validation and Analysis of Shader. TPC arch team is a fast-growing team which welcomes all level engineers to join. Our aim is to explore and design better architecture of GPU which will help AI program run efficiently and rendering in games become faster and more realistic. TPC is core of GPU. It includes several units for schedule, computation and cache. You will work closely with the US team, including test writing, function and performance implementation of kinds of features and study of new features.
What you’ll be doing:
Investigate and propose architecture ideas based on quantitative study of existing and projected SM architecture.
Develop performance and functional simulation models.
Develop performance and functional testplan and tests to validate new SM architectural and features.
Test and debug on simulators, RTL and real silicon.
What we need to see:
Good mastery of C++ language.
Experience of performance/functional modelling, profiling and analysis is a plus.
Practice with trace-driven and execution-driven simulation model development is a plus.
Pursuing BSEE or BSCSE. MS or PhD is a plus.
Ways to stand out from the crowd:
Candidates with GPU shader unit design, microprocessor design, and CPU/GPU performance analysis experience are preferred.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people on the planet working for us. If you're creative and autonomous, we want to hear from you!
How we rate this
TPC Arch Intern, GPU SM - 2027 at NVIDIA rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● 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
Questions you could be asked
- Tell me about a project where gpu architecture was part of your work. What did you do?
- Tell me about a project where performance modeling was part of your work. What did you do?
- Tell me about a project where simulation 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: GPU Architecture, Performance Modeling, Simulation, 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.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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