AI Performance Engineer

Job Summary

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

Key Responsibilities:

• Own end-to-end performance for distributed AI workloads across multi-node clusters and diverse fabrics
• Benchmark, characterize, and tune open-source & industry workloads on current and future hardware
• Design and optimize distributed serving topologies and validate inferencing optimizations

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 identify scaling bottlenecks
• Hands-on experience with distributed training and inference architectures
• Familiarity with network architectures and performance tuning in Linux systems