Position Overview:

The ideal candidate should have a strong background in parallel computing and performance optimization using CUDA.

Responsibilities:

• Identify and resolve performance issues and bugs related to CUDA usage.
• Analyze and improve algorithm performance through efficient parallelization.
• Stay updated with new technologies and best practices in CUDA and parallel computing.

Requirements

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 development.
• Ability to solve complex problems and work both independently and in a team.
• Good communication skills and ability to work in a collaborative environment.

Knowledge and Skills:

• Proficiency in C/C++. – Mandatory
• Experience with code optimization for performance and efficient resource usage.
• Experience with CUDA version 12.0 or above (12.3 preferred).
• Knowledge of frameworks and libraries like cuBLAS and cuDNN.
• CUDA Performance Optimization.
• Mandatory Skills: C++  5 years, LLM  2 years