Deep Learning Performance Architect
China, Shanghai, China · 5 months ago
You will analyze the performance of deep learning algorithms across GPU and accelerator architectures, identify hardware and software bottlenecks, and propose optimizations. You will also explore new hardware features for deep learning workloads.
- Workplace
- On-site
- Seniority
- Senior
- Experience
- 5+ years
Skills
About the 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 NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.
Posted May 31, 2026