AI Performance Optimization Engineer

Job Summary

Seeking a skilled AI Performance Optimization Engineer, the full-time remote position will focus on optimizing AI training and inference pipelines for throughput, latency, and cost while collaborating with cross-functional teams to deliver high-performance solutions.

Key Responsibilities

• Profile and optimize end-to-end AI training and inference pipelines for improved performance
• Identify and eliminate bottlenecks across data loading, model compute, and memory management
• Implement and tune optimization strategies such as quantization and sparsity to enhance model efficiency

Required Qualifications

• Bachelor's or master's degree in computer science, Computer Engineering, or a related field
• Six or more years of experience in performance engineering, ML systems, or HPC
• Strong proficiency in Python and C++
• Hands-on experience optimizing deep learning workloads on modern GPUs
• Deep understanding of distributed training and inference techniques