Deep Learning Performance Architect
Senior AI engineer specializing in deep learning hardware-software co-optimization for GPU architectures, focusing on performance projections, algorithmic bottlenecks, and cutting-edge deep learning applications in automotive and HPC domains.
Skills required
About this role
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
