
CUDA Developer β AI/LLM, GPU Optimization
Posted Jun 4

Posted Jun 4
This is a fully remote position, open to applicants in Egypt.
β’ Address complex CUDA and GPU programming challenges that involve parallel computing and enhancing performance.
β’ Assess, analyze, and refine AI-generated code in CUDA, C++, and Python.
β’ Enhance GPU kernels to improve throughput, reduce latency, increase memory efficiency, and optimize resource use.
β’ Utilize CUDA libraries and frameworks, including Thrust, cuBLAS, and cuDNN.
β’ Identify and troubleshoot problems related to CUDA kernels, synchronization issues, and memory management.
β’ Create high-quality technical prompts, solutions, explanations, and assessments for AI model training.
β’ Collaborate with AI researchers, engineers, and evaluation teams.
β’ Keep abreast of the latest advancements in CUDA, GPU architectures, and performance optimization strategies.
β’ Over 5 years of professional software development experience with a strong emphasis on CUDA development.
β’ Exceptional proficiency in C/C++.
β’ Substantial hands-on experience with Python and scientific computing frameworks.
β’ Familiarity with PyTorch and NumPy.
β’ Experience with CUDA version 12.3 or later.
β’ In-depth understanding of GPU programming, parallel computing, and performance enhancement.
β’ Proven track record of optimizing workloads for high-performance execution and effective resource utilization.
β’ Knowledge of CUDA libraries such as Thrust, cuBLAS, and cuDNN.
β’ Competitive salary and performance-based bonuses.
β’ Comprehensive health and wellness benefits.
β’ Opportunities for professional development and continuous learning.
β’ Flexible work arrangements and a positive work environment.
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