TPC Arch Intern, GPU SM - 2027
Skills
About the role
This internship focuses on GPU architecture modeling and validation within the TPC (core computational unit) team. You'll develop simulation models, design test strategies, and verify new architecture features across simulators and real hardware. The role involves close collaboration with NVIDIA's US-based architecture group on systems that accelerate both AI workloads and graphics rendering.
What you’ll do
- Research and evaluate potential GPU architecture improvements through quantitative analysis
- Build performance and functional simulation models
- Create test plans and execute validation across simulation, register-transfer level, and silicon
- Analyze trace-driven and execution-driven simulation models
What they’re looking for
- Advanced C++ programming proficiency
- Currently pursuing a BSEE or BSCSE degree
- Foundational understanding of computer architecture
Nice to have
- Prior work in performance modeling or profiling
- Experience with trace-driven or execution-driven simulation frameworks
- Knowledge of GPU shader design or microprocessor architecture
- Background in CPU/GPU performance analysis
What’s on offer
- Full-time internship placement
- Exposure to core GPU architecture design and validation
- Mentorship from experienced hardware engineering team
Questions about this role
What is the compensation?
The posting does not specify a salary.
Do I need a specific degree?
You must be pursuing a BSEE or BSCSE degree.
Is there any preferred experience?
GPU design, microprocessor design, or CPU/GPU performance analysis experience is preferred.
Is this on-site or remote?
This is an on-site position in Shanghai.
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