CUDA Engineering Expert

RemoteJobsOne; Dubai; Remote; AED 304,000 - 506,000; Full time

Job summary

RemoteJobsOne is seeking a CUDA Engineering Expert for a fully remote contract based in the United Arab Emirates. You will optimize GPU kernels, profile performance, refactor CUDA/C code, and implement GLSL/WebGPU shader logic across diverse GPU architectures.

The role emphasizes high-performance computing, advanced C development, and strong documentation while collaborating with remote teams on cutting-edge AI training workloads.

Qualifications

• Demonstrated expertise in CUDA programming with performance-tuning of GPU kernels.
• Advanced C development skills in HPC environments.
• Hands-on experience with GLSL and WebGPU for graphics/compute shader development.
• Proficiency using GPU profilers (Nsight or similar) for guided optimization.
• Strong analytical abilities to evaluate kernel performance across hardware generations.
• Excellent written and verbal communication; clear documentation and reporting are essential.
• Experience collaborating in remote cross-disciplinary project settings is a plus.

Responsibilities

• Analyze profile and optimize GPU kernels using CUDA and profiling tools to maximize throughput on modern hardware.
• Collaborate with project stakeholders to identify kernel bottlenecks and propose optimization strategies.
• Refactor C and CUDA codebases for maintainability and adaptability across GPUs.
• Implement shader logic and graphics workflows using GLSL and WebGPU within existing pipelines.
• Document findings, optimizations, and performance improvements with actionable reports.
• Contribute expertise to design discussions evaluating new GPU-based approaches and metrics.
• Stay informed on GPU programming advancements and share insights to improve project outcomes.

Skills

CUDA programming

C development

GLSL

WebGPU

GPU profiling

Kernel performance analysis

Analytical skills

Communication

Remote collaboration

Tools

Nsight Visual Profiler

Job description

IMPORTANT: after you apply please check your email. We send you a link to complete your application it is not considered until that last step is done. If you do not see it check your spam folder.

This is a fully remote position open to candidates based in United Arab Emirates.

Pay: $60$100/hr

Role Title: CUDA Engineering Expert

Role Type: Contractor

Location: Remote

We are engaging CUDA Engineering Experts to contribute to a cutting-edge customer project focused on GPU kernel optimization in collaboration with a leading AI this role youll apply your expertise to help train next-generation AI systems. Your work will shape how models learn reason and perform through high-quality real-world input. No prior experience in AI is required your domain knowledge is what matters.

Scope of Work

1. Analyze profile and optimize GPU kernels using CUDA and relevant profiling tools to maximize computational throughput on modern hardware.
2. Collaborate with project stakeholders to assess and identify kernel bottlenecks proposing targeted optimization strategies.
3. Refactor C and CUDA codebases for improved maintainability efficiency and adaptability across diverse GPU architectures.
4. Implement shader logic and graphics workflows using GLSL and WebGPU ensuring seamless integration with existing pipelines.
5. Document key findings optimization steps and performance improvements with clear actionable reports and technical communication.
6. Contribute expertise to design discussions supporting the evaluation of new GPU-based approaches and performance metrics.
7. Stay informed on advancements in GPU programming and share relevant insights to enhance project outcomes.

Preferred Qualifications

1. Demonstrated expertise in CUDA programming with a strong track record of performance-tuning GPU kernels.
2. Advanced C development skills particularly in high-performance computing environments.
3. Hands-on experience with GLSL and WebGPU for graphics and compute shader development.
4. Proficiency using GPU profilers (such as Nsight Visual Profiler or similar tools) for guided optimization.
5. Strong analytical abilities to evaluate and reason about kernel performance across hardware generations.
6. Excellent written and verbal communication skillsclear documentation and technical reporting are essential.
7. Experience collaborating in remote cross-disciplinary project settings is a plus.

Employment Type : Full Time
Experience: years
Vacancy: 1
Hourly Salary Salary: 60 - 100