Remote CUDA Engineer: GPU Kernel Optimizer & HPC Expert

YO HR Consultancy; United States; Remote; USD 120,000 - 180,000; Part time

Job summary

YO HR Consultancy is seeking a CUDA Engineering Expert as a remote contractor to optimize GPU kernels and advance a cutting‑edge AI training project. You will collaborate with an AI lab to identify bottlenecks, refine CUDA/C/C++ code, and implement shader logic using GLSL and WebGPU across diverse GPU architectures.

The role emphasizes high‑performance computing, cross‑disciplinary collaboration, and clear technical reporting to guide optimization strategies and project outcomes.

Qualifications

• Demonstrated expertise in CUDA programming and performance‑tuning of GPU kernels.
• Advanced C development skills for HPC environments.
• Hands‑on experience with GLSL and WebGPU for graphics/compute shaders.

Responsibilities

• Analyze, profile, and optimize GPU kernels using CUDA to maximize throughput.
• Collaborate with stakeholders to identify bottlenecks and propose targeted optimizations.
• Refactor C/CUDA code for maintainability across GPU architectures.
• Implement shader logic with GLSL and WebGPU and integrate with pipelines.
• Document findings and performance improvements in clear reports.

Skills

CUDA programming

C development

GLSL

WebGPU

GPU profiling

remote collaboration

Tools

Nsight

Visual Profiler

Job description

YO HR Consultancy is seeking a CUDA Engineering Expert as a remote contractor to optimize GPU kernels and advance a cutting‑edge AI training project. You will collaborate with an AI lab to identify bottlenecks, refine CUDA/C/C++ code, and implement shader logic using GLSL and WebGPU across diverse GPU architectures.

The role emphasizes high‑performance computing, cross‑disciplinary collaboration, and clear technical reporting to guide optimization strategies and project outcomes.