Remote CUDA & GPU Kernel Optimization Specialist

YO IT Consulting; Al Ruways Industrial City; On-site; AED 25,000 - 45,000; Full time

Job summary

YO IT Consulting is seeking a CUDA Engineering Expert to optimize GPU workloads in Abu Dhabi. You will profile kernels, pinpoint bottlenecks, and refine CUDA and C implementations for higher throughput and efficiency.

Work focuses on GLSL and WebGPU shader development, memory access patterns, and performance-driven engineering. This remote contractor role centers on advanced GPU optimization across architectures.

Qualifications

• Deep practical expertise in NVIDIA CUDA programming and GPU kernel optimization.
• Advanced C development for performance-sensitive software.
• Hands-on experience with GLSL and WebGPU.
• Strong command of GPU profiling and debugging tools such as NVIDIA Nsight.

Responsibilities

• Analyze CUDA kernels and GPU workloads to identify bottlenecks and performance limits.
• Profile GPU applications using Nsight or equivalent tools.
• Refactor CUDA/C implementations to improve efficiency and maintainability.
• Develop and optimize shader logic with GLSL and WebGPU for compute/graphics workloads.
• Document profiling methodology, decisions and performance gains.

Skills

NVIDIA CUDA

CUDA C

Advanced C

GPU programming

GPU kernel optimization

NVIDIA Nsight

GPU profiling

GPU architecture

Parallel computing

High-performance computing

Kernel performance analysis

Memory optimization

Thread optimization

GPU occupancy analysis

Performance benchmarking

Compute shaders

GLSL

WebGPU

Shader development

GPU-accelerated applications

Performance bottleneck analysis

Cross-architecture optimization

AI and machine learning acceleration

Technical performance documentation

Job description

YO IT Consulting is seeking a CUDA Engineering Expert to optimize GPU workloads in Abu Dhabi. You will profile kernels, pinpoint bottlenecks, and refine CUDA and C implementations for higher throughput and efficiency.

Work focuses on GLSL and WebGPU shader development, memory access patterns, and performance-driven engineering. This remote contractor role centers on advanced GPU optimization across architectures.