Senior DL Performance Architect, AI Hardware & Optimization

NVIDIA; Santa Clara (CA); On-site; USD 184,000 - 287,500; Full time

Benefits offered by this job

Equity benefits

Comprehensive health benefits

Job summary

NVIDIA is on the lookout for a Senior Deep Learning Performance Architect to enhance the performance and efficiency of AI workloads. You'll analyze and develop cutting-edge architectures, optimize large-scale deep learning models, and work closely with cross-functional teams.

Ideal candidates should possess an MS or PhD in a relevant field, and have over 5 years of relevant experience in GPU/ASIC architecture and performance engineering. Attractive salary range and equity benefits offered.

Qualifications

• 5+ years of hands-on experience in GPU/ASIC architecture, parallel computing, or system performance engineering.
• Experience with deep learning workloads in production environments.
• Ability to work across teams and drive decisions in fast-paced environments.

Responsibilities

• Design and evaluate hardware architectures to improve performance.
• Analyze and optimize large-scale deep learning workloads.
• Identify and resolve system bottlenecks across compute and memory.

Skills

GPU/ASIC architecture

Parallel computing

Performance tuning

Python

C++

Education

MS or PhD in a relevant field

Job description

NVIDIA is on the lookout for a Senior Deep Learning Performance Architect to enhance the performance and efficiency of AI workloads. You'll analyze and develop cutting-edge architectures, optimize large-scale deep learning models, and work closely with cross-functional teams.

Ideal candidates should possess an MS or PhD in a relevant field, and have over 5 years of relevant experience in GPU/ASIC architecture and performance engineering. Attractive salary range and equity benefits offered.