AI Performance Engineer

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