GPU Engineer

Job Summary

A company is looking for a GPU Engineer to join their innovative AI team.

Key Responsibilities

• Design and implement scalable GPU clusters on AWS infrastructure for distributed LLM training
• Optimize GPU memory usage, computational throughput, and inter-node communication for transformer model training
• Architect and deploy GPU-based inference solutions that balance latency, throughput, and cost

Required Qualifications

• 5+ years of experience optimizing GPU infrastructure for machine learning workloads
• Advanced knowledge of NVIDIA GPU architecture and CUDA programming
• Experience with AWS GPU instances and AWS Batch for ML workloads
• Bachelor's degree in Computer Science, Electrical Engineering, or related field (Master's preferred)
• AWS Certified Solutions Architect - Professional (Strongly Preferred)