Deep Learning Performance Architect

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
• What we need to see
• BSc. MS or PhD in relevant discipline (CS, EE, Math, etc.,)
• 5+ years of working experience in relevant directions will be a plus
• 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

Languages