CUDA GPU Kernel Performance Engineer

YO IT Consulting; Al Ruways Industrial City; On-site; AED 279,000 - 502,000; Full time

Job summary

YO IT Consulting is seeking a CUDA Performance Engineer - GPU Kernels in Abu Dhabi Emirate, United Arab Emirates. The role focuses on profiling CUDA kernels, optimizing GPU workloads, and developing GLSL and WebGPU shader logic to deliver measurable performance gains in high-performance computing environments.

The contractor will investigate GPU workloads, improve kernel efficiency, and collaborate with remote engineering teams while adapting approaches for different GPU architectures and

Qualifications

• Strong CUDA programming and GPU kernel optimization expertise.
• Experience with GPU profiling and debugging platforms.

Responsibilities

• Profile CUDA kernels and GPU workloads using NVIDIA Nsight or comparable performance-analysis tools.
• Diagnose execution bottlenecks involving memory access, occupancy, synchronization, thread organization, or computational throughput.
• Design targeted optimization strategies based on measurable runtime behavior.
• Refactor CUDA and C code to improve efficiency while preserving readability and maintainability.
• Tune kernel implementations to maximize GPU resource utilization.
• Evaluate memory-transfer patterns and reduce host-device or device-memory overhead.
• Develop GPU shader logic using GLSL and WebGPU for compute-oriented or graphics workloads.
• Benchmark alternative implementations and quantify performance improvements using repeatable tests.
• Investigate performance regressions and determine whether issues originate in kernel design, memory utilization, workload structure, or architectural limits.
• Adapt optimization approaches for different GPU architectures as workloads vary.
• Document profiling results, optimization rationale, code changes, and observed performance gains.
• Contribute technical insights during discussions on GPU architecture and accelerated computing.
• Coordinate with remote teams on complex optimization tasks.

Skills

CUDA programming

CUDA kernel optimization

CUDA C

Advanced C

GPU profiling

GPU architecture

Parallel computing

GPU memory optimization

Kernel occupancy

Thread optimization

Memory coalescing

Host-device optimization

Performance benchmarking

Bottleneck analysis

High-performance computing

GLSL

WebGPU

Compute shaders

Shader programming

Cross-architecture optimization

AI acceleration

Tools

NVIDIA Nsight

Job description

YO IT Consulting is seeking a CUDA Performance Engineer - GPU Kernels in Abu Dhabi Emirate, United Arab Emirates. The role focuses on profiling CUDA kernels, optimizing GPU workloads, and developing GLSL and WebGPU shader logic to deliver measurable performance gains in high-performance computing environments.

The contractor will investigate GPU workloads, improve kernel efficiency, and collaborate with remote engineering teams while adapting approaches for different GPU architectures and