Deep Learning Performance Architect
NVIDIA· Architect
Shanghaifull-timePosted 4mo ago
About the role
Expert deep learning performance architect to optimize deep learning hardware and software architecture, analyze performance, identify bottlenecks, and explore new hardware features for deep learning applications.
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.)
- 5+ years of working experience in relevant directions (plus)
- Familiar with GPU or accelerator-based deep learning platform and software stack
- 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 analysisGPU/accelerator-based DL platformComputer architectureSystem architecture designMachine learning frameworks
Last updated Jun 26, 2026. Interested? Apply on the company site.
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