Lead GPU Inference Performance Engineer

present of AI; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

present of AI seeks a performance-focused engineer to optimize inference across a large catalog and growing GPU fleet. You’ll perform deep hands-on GPU work, kernel tuning, and serving-engine optimization, making judgements on which gains matter most and proving production quality.

You’ll gain direct experience optimizing inference across model types on custom hardware, using AI agents to scale performance and benchmark generation, while leading a small team and still writing code.

Qualifications

• Experience optimizing inference performance in production environments.
• Ability to lead a small engineering team while contributing code.
• Hands-on CUDA and kernel-level optimization expertise.

Responsibilities

• Own inference performance across models and hardware.
• Perform kernel tuning and profiling analyses to drive speedups.
• Collaborate with engineers on quantization and serving engines.
• Lead a small team while continuing to write code and validate quality.

Skills

CUDA

Kernel tuning

Profiling

Inference optimization

Tools

Quantization formats

Serving engines

Job description

present of AI seeks a performance-focused engineer to optimize inference across a large catalog and growing GPU fleet. You’ll perform deep hands-on GPU work, kernel tuning, and serving-engine optimization, making judgements on which gains matter most and proving production quality.

You’ll gain direct experience optimizing inference across model types on custom hardware, using AI agents to scale performance and benchmark generation, while leading a small team and still writing code.