CUDA DeveloperPosition Overview: We are seeking a CUDA Developer with a strong background in parallel computing and performance optimization. The ideal candidate will have a proven track record in resolving performance issues and bugs related to CUDA, analyzing and improving algorithm performance, and staying updated with the latest technologies and best practices in CUDA and parallel computing.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: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.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.Strong problem-solving skills and ability to work both independently and in a team.Good communication skills and ability to work in a collaborative environment.Search Guidance:Mandatory Skills: 5+ years of experience with C++ and at least 2 years with CUDA development.Total Years of Experience: 5+ yearsOpportunity: Full-Time, 8 hours per day (4 hours overlap with PST timezone)Notice Period: ImmediateEngagement Length: 6-12 months
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