GPU Performance Engineer

Job Summary

Seeking a full-time remote GPU Performance and Benchmarking Engineer, the ideal candidate will design and execute performance benchmarks for AI workloads, profile GPU workloads to identify optimization opportunities, and tune parameters to maximize throughput.

Key Responsibilities

• Design and execute performance benchmarks for AI training and inference workloads
• Profile and characterize GPU workloads to identify performance bottlenecks and optimization opportunities
• Systematically tune workload parameters to maximize throughput

Required Qualifications

• 3-7 years of experience in GPU performance engineering, benchmarking, or HPC
• Hands-on experience with GPU profiling and benchmarking tools
• Strong understanding of AI/ML workload performance characteristics
• Experience tuning performance parameters across GPU, CUDA, and framework layers
• Proficiency in Python for benchmark scripting and data analysis