CUDA Developer

Responsibilities:

• Identify and resolve performance issues and bugs related to CUDA implementations.
• Analyze and optimize algorithm performance for maximum efficiency through parallelization.
• Collaborate with cross-functional teams to integrate CUDA optimizations into existing software architecture.
• Stay updated with the latest trends, tools, and best practices in CUDA and parallel computing.
• Develop and maintain code for GPU-accelerated applications using CUDA.
• Implement code optimizations for memory usage and computational efficiency.

Required Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, or related fields.
• Minimum of 5 years of software development experience, with at least 2 years specifically in CUDA.
• Proven experience in optimizing performance and debugging CUDA applications.
• Ability to work both independently and collaboratively within a team.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills to effectively work with technical and non-technical teams.

Knowledge and Skills:

• Proficiency in C/C++ programming languages.
• Expertise in CUDA Performance Optimization and best practices.
• Experience with CUDA version 12.0 or above (preferably 12.3).
• Familiarity with frameworks and libraries such as cuBLAS, cuDNN, and Thrust.
• Strong understanding of GPU architectures and resource management.
• Knowledge of parallel computing patterns, memory management, and multi-threading.
• Experience with Large Language Models (LLMs) and their deployment on GPU infrastructure