Deep Learning Performance Architect

Job Title

Deep Learning Performance Architect

Role Summary

Work on modeling, performance projection, analysis and optimization of deep learning workloads on GPU and accelerator-based systems. The role focuses on identifying bottlenecks in hardware and software, proposing architectural and software optimizations, and evaluating new hardware features for deep learning applications.

Experience Level

Mid-level. Candidates with 5+ years of relevant experience are preferred.

Responsibilities

Primary responsibilities center on measuring and improving deep learning performance across software and hardware layers.

• Analyze performance of deep learning algorithms on various architectures and platforms.
• Identify architecture and software bottlenecks and propose optimization strategies.
• Evaluate and explore new hardware features and capabilities for deep learning workloads.
• Collaborate with system and software teams to inform architecture and design decisions.

Requirements

Must-have technical skills and experience.

• 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.
• Familiarity with machine learning and deep learning frameworks.
• Good analytical skills to diagnose performance issues across hardware and software.
• Nice-to-have: 5+ years of relevant industry experience.

Education Requirements

BSc, MS, or PhD in Computer Science, Electrical Engineering, Mathematics, or a related technical discipline as stated in the posting.

About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.