Deep Learning Performance Architect

About the role

NVIDIA is developing GPU and system architectures that accelerate deep learning, automotive and high‑performance computing applications. We are seeking an expert Deep Learning Performance Architect to join our deep learning modelling, performance projection, analysis and optimization effort, with the opportunity to shape both hardware and software architectures.

Key responsibilities

• Analyze the performance of various deep learning algorithms across different architectures.
• Identify architecture and software performance bottlenecks and propose optimizations.
• Explore new hardware features and capabilities for deep learning applications.

Required profile

• BSc, MS or PhD in Computer Science, Electrical Engineering, Mathematics or a related field.
• 5+ years of experience in relevant areas.
• Familiarity with GPU or accelerator‑based deep learning platforms and software stacks.
• Strong background in computer architecture.
• Experience in system architecture design and performance optimization.
• Knowledge of machine learning and deep learning frameworks.

Required skills

• GPU and accelerator platforms
• Deep learning frameworks
• Machine learning frameworks
• Computer architecture
• System architecture design
• Performance optimization