GPU Optimization Engineer

About This Role

This role will optimize GPU-accelerated workloads for high-performance AI systems, focusing on performance, efficiency, and scalability. The engineer will collaborate with systems and ML teams to enhance training and inference performance across large-scale compute environments.

Responsibilities

• Optimize GPU-accelerated workloads for performance, efficiency, and scalability
• Use C++, GPU programming frameworks, and modern ML libraries
• Work closely with systems and ML teams to improve training and inference performance across large-scale compute environments
• Profile, debug, and tune low-level performance bottlenecks to maximize throughput and reduce latency
• Help push the limits of what’s possible in high-performance AI systems

Requirements

• Experience optimizing GPU-accelerated workloads
• Proficiency in C++
• Experience with GPU programming frameworks
• Familiarity with modern ML libraries

Skills

* Required skills

Benefits