CUDA Developer – AI/LLM, GPU Optimization

This is a fully remote position, open to applicants in Egypt.

📋 Description

• Address complex CUDA and GPU programming challenges that involve parallel computing and enhancing performance.

• Assess, analyze, and refine AI-generated code in CUDA, C++, and Python.

• Enhance GPU kernels to improve throughput, reduce latency, increase memory efficiency, and optimize resource use.

• Utilize CUDA libraries and frameworks, including Thrust, cuBLAS, and cuDNN.

• Identify and troubleshoot problems related to CUDA kernels, synchronization issues, and memory management.

• Create high-quality technical prompts, solutions, explanations, and assessments for AI model training.

• Collaborate with AI researchers, engineers, and evaluation teams.

• Keep abreast of the latest advancements in CUDA, GPU architectures, and performance optimization strategies.

⛳️ Requirements

• Over 5 years of professional software development experience with a strong emphasis on CUDA development.

• Exceptional proficiency in C/C++.

• Substantial hands-on experience with Python and scientific computing frameworks.

• Familiarity with PyTorch and NumPy.

• Experience with CUDA version 12.3 or later.

• In-depth understanding of GPU programming, parallel computing, and performance enhancement.

• Proven track record of optimizing workloads for high-performance execution and effective resource utilization.

• Knowledge of CUDA libraries such as Thrust, cuBLAS, and cuDNN.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health and wellness benefits.

• Opportunities for professional development and continuous learning.

• Flexible work arrangements and a positive work environment.