CUDA Developers
About the Role
A U.S.-based company that is creating an all-encompassing AI content creation and management system for modern GTM teams, is looking for a Fullstack engineer with experience in building products in the telephony/VoIP space. The company is helping businesses to create trustworthy, clear-cut, and effective AI-based solutions that foster marketing innovation.The company has managed to secure more than $20mn during its Series A round of funding.
Job Description: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.
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.
Knowledge and Skills: Proficiency in C/C++.
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.