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

Additional Information

NVIDIA is developing GPU and system architectures that accelerate deep learning, automotive and high-performance computing applications. We are looking for an expert deep learning performance architect to join our deep learning modelling, performance projections, analysis and optimization effort. In this position, you will have the chance to optimize deep learning hardware and software architecture and make a significant impact in a dynamic technology focused company

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Company Intel

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