Deep Learning Performance Intern - 2027
NVIDIA· Intern
ShanghaiinternPosted 1w ago
About the role
Internship role focused on deep learning performance architecture, modeling, optimization, and analysis to improve GPU and system architectures for deep learning workloads.
Responsibilities
- Analyze performance of various deep learning algorithms on different architectures
- Identify architecture and software performance bottlenecks and propose optimizations
- Explore new features and hardware capabilities on deep learning applications
Qualifications
- BSc. MS or PhD in relevant discipline (CS, EE, Math, etc.)
- Be familiar with GPU or accelerator-based deep learning platform and software stack
- A strong background in computer architecture
- Experience on system architecture design and performance optimization
- Familiar with machine learning and deep learning frameworks
Skills
Required:Deep learning performance analysisSystem architecture designGPU/accelerator platformsMachine learning frameworks
Last updated Oct 16, 2026. Interested? Apply on the company site.
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