Job Details

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.
• Analyse and improve algorithm performance through efficient parallelization.
• Stay updated with new technologies and best practices in CUDA and parallel computing.

Required Qualifications:

• Bachelors 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.