Deep Learning Performance Architect
China, Shanghai, China · 3 months ago
You will analyze deep learning workload performance across GPU and system architectures, identify hardware and software bottlenecks, and explore configurations to improve performance and energy efficiency.
- Workplace
- On-site
- Seniority
- Mid level
- Experience
- 3+ years
Skills
About the role
NVIDIA is developing GPU and system architectures that accelerate deep learning 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 analyze deep learning performance on different 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 workloads on different architectures Identify architecture and software performance bottlenecks Explore new features and system configurations to achieve better performance and energy efficiency What we need to see: BSc. MS or PhD in relevant discipline (CS, EE, Math, etc.,) 3+ years of working experience in relevant directions (e.g., hardware system, datacenter hardware, LLM workloads on data center) 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 Jul 26, 2026