CUDA Engineering Expert - GPU Optimization

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

CUDA Engineering Expert - GPU Optimization Job Snapshot Role: CUDA Engineering Expert - GPU Optimization Location: Abu Dhabi Emirate, United Arab Emirates Industry: Computer Software Function: IT-Software Development Experience: Advanced experience in CUDA, C , GPU programming, and kernel optimization Job Type: Contractor Position Overview CUDA Engineering Expert - GPU Optimization in Abu Dhabi Emirate, United Arab Emirates is a remote Computer Software opportunity for an experienced GPU engineer specializing in CUDA programming, advanced C development, kernel optimization, and high-performance computing. YO IT Consulting is hiring a technical expert to profile GPU workloads, eliminate performance bottlenecks, optimize compute kernels, develop shader logic, and contribute to an advanced GPU optimization project where deep engineering expertise is more important than previous AI experience.

Job Details Country: United Arab Emirates City: Abu Dhabi Emirate Industry: Computer Software Function: IT-Software Development Salary: 25000-45000 Estimated salary range based on similar jobs in the job city; please confirm the final offer with the employer. Gender: Any Candidate Nationality: Any Job Type: Contractor

Role Context

The CUDA Engineering Expert will investigate how kernels execute, locate memory and compute constraints, and implement targeted improvements across CUDA and C code. The work also extends into GLSL and WebGPU shader development, giving the engineer responsibility for improving both computational efficiency and the technical quality of GPU-oriented software.

Key Responsibilities

• Analyze CUDA kernels and GPU workloads to determine where computational resources, memory behavior, or execution patterns are limiting performance.
• Profile GPU applications using NVIDIA Nsight or comparable performance analysis tools.
• Identify kernel-level bottlenecks and formulate optimization strategies based on measured performance data.
• Refactor CUDA and C implementations to improve execution efficiency, maintainability, and scalability.
• Optimize GPU kernels with consideration for memory access patterns, thread organization, synchronization, occupancy, and computational throughput.
• Compare performance characteristics across workloads and recommend architecture-appropriate optimization techniques.
• Develop and refine shader logic using GLSL and WebGPU for GPU-based compute or graphics workloads.
• Investigate performance regressions and isolate their underlying technical causes.
• Benchmark optimization changes and quantify improvements using appropriate profiling and performance metrics.
• Document profiling methodology, engineering decisions, bottlenecks, implemented changes, and resulting performance gains.
• Participate in technical discussions covering GPU architecture, kernel behavior, performance engineering, and accelerated computing.
• Collaborate remotely with engineering and cross-functional project teams while communicating complex optimization findings clearly.
• Apply consistent engineering standards when reviewing or improving performance-critical GPU code.

Ideal Profile

• Deep practical expertise in NVIDIA CUDA programming and GPU kernel optimization.
• Advanced C development skills, particularly for performance-sensitive or compute-intensive software.
• Hands-on experience with GLSL and WebGPU.
• Strong command of GPU profiling and debugging tools such as NVIDIA Nsight.
• Detailed understanding of GPU architecture, parallel execution, memory hierarchies, and performance characteristics.
• Proven ability to diagnose performance bottlenecks using profiling evidence rather than assumptions.
• Experience optimizing GPU workloads for throughput, latency, resource utilization, or memory efficiency.
• Background in high-performance computing or GPU-accelerated applications is highly relevant.
• Experience tuning workloads across different GPU architectures is advantageous.
• Exposure to graphics programming, compute shaders, or AI and machine learning acceleration is beneficial.
• Strong analytical reasoning and technical problem-solving skills.
• Able to document complex performance engineering work with precision and collaborate effectively in a distributed environment.
• Prior artificial intelligence experience is not required.

Skills Set

• 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

Why Join Us

This contractor opportunity places advanced GPU engineering expertise at the center of a technically demanding optimization project. Engineers can work directly with CUDA kernels, C , GPU profiling, GLSL, WebGPU, and performance-critical workloads while gaining exposure to emerging AI-driven applications without needing previous AI experience. The remote structure offers flexibility, while the engineering scope provides meaningful opportunities to deepen expertise in accelerated computing, GPU architecture, and high-performance software optimization.

About the Company

YO IT Consulting engages specialized technology professionals for engineering, software, data, and emerging AI projects requiring advanced domain knowledge. Its project-based model gives experienced technical specialists opportunities to apply practical expertise to complex systems where software performance, engineering accuracy, and measurable technical improvements are critical.