NVIDIA
DeepLearningPerformanceArchitect
Neural analysis suggests this role is
optimal for Senior candidates.
“Deep Learning Performance Architect at NVIDIA. Skills: Deep learning performance, Architecture optimization. Analyze performance of deep learning algorithms. Identify architecture bottlenecks”
What You'll Achieve.
Optimize deep learning hardware; Optimize software architecture
Industry & Context.
Identify bottlenecks; Propose optimizations
What They're Looking For.
Must Have
BSc. MS or PhD, 5+ years of working experience, Familiar with GPU or accelerator-based deep learning platform and software stack, Background in computer architecture, Experience on system architecture design and performance optimization, Familiar with machine learning and deep learning frameworks
Nice to Have
5+ years of working experience in relevant directions will be a plus
What You'll Do.
Analyze performance of deep learning algorithms
Identify architecture bottlenecks
Identify software performance bottlenecks
Propose optimizations
Explore hardware capabilities on deep learning applications
Full Job Description
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 **What you’ll be doing** : * 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
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