Senior AI Performance & Efficiency Engineer - GPU Clusters

NVIDIA; Santa Clara (CA); On-site; USD 152,000 - 241,500; Full time

Benefits offered by this job

Equity

Comprehensive benefits package

Job summary

NVIDIA is seeking a Senior AI/ML Performance and Efficiency Engineer to improve AI efficiency on GPU Clusters. This role involves collaborating with AI researchers and automating the identification of inefficiencies in compute infrastructure.

The ideal candidate has over 5 years of experience in large-scale infrastructure, strong programming skills, and a dedication to staying current with AI technologies. Competitive salaries and comprehensive benefits are offered.

Qualifications

• Minimum 5+ years of experience designing large scale compute infrastructure.
• Strong understanding of modern ML techniques.
• Experience with debugging large-scale distributed training.

Responsibilities

• Collaborate with AI/ML researchers to enhance ML model efficiency.
• Apply ML techniques to identify efficiency bottlenecks.
• Monitor fleet-wide utilization patterns and identify improvements.

Skills

Collaboration with researchers

Efficiency in ML models

Debugging and optimization

Programming in Python

Experience with cloud computing

Education

BS in Computer Science or related area

Tools

NSight Systems

NSight Compute

AWS

GCP

Azure

Job description

NVIDIA is seeking a Senior AI/ML Performance and Efficiency Engineer to improve AI efficiency on GPU Clusters. This role involves collaborating with AI researchers and automating the identification of inefficiencies in compute infrastructure.

The ideal candidate has over 5 years of experience in large-scale infrastructure, strong programming skills, and a dedication to staying current with AI technologies. Competitive salaries and comprehensive benefits are offered.