AI Performance Engineer

Job Summary

A company is looking for an AI Performance Engineer to optimize training and multi-node inference across advanced networking technologies.

Key Responsibilities:

• Own end-to-end performance for distributed AI workloads across multi-node clusters and diverse fabrics
• Benchmark, characterize, and tune open-source and industry workloads on various compute, storage, and network hardware
• Design and optimize distributed serving topologies and validate inferencing techniques for performance improvements

Required Qualifications:

• B.S. in CS/EE/CE/Math or related field
• 5-7+ years of experience running AI/ML at cluster scale
• Proven ability to analyze AI benchmarks and understand message passing and scaling efficiency
• Hands-on experience with distributed training and inference architectures
• Familiarity with network architectures and Linux systems at the performance-tuning level