Yo HR Consultancy

CUDA Developer - C/C++ Programming

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Job Location

India, India

Job Description

Role : CUDA Developer Location : Anywhere in the World - Permanent Remote Experience : 5 - 8 Years Role : Contract/Duration: 6 -12 Months Opportunity : Full Time, 8 hours Overlap Required : 4 hours PST timing Work timings which is : Primarily, overlap is required from 8 AM to 12 PM PST. The remaining 4 hours can be accommodated either before 8 AM PST or after 12 PM PST 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 Full stack 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 : The ideal candidate should have a strong background in parallel computing and performance optimization using CUDA. Must Have : Total Years Of exp- 5 years experience mandatory Mandatory Skills: C++ - 5 years, LLM - 2 years , 2 years exp in CUDA : - 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. - 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. (ref:hirist.tech)

Location: India, IN

Posted Date: 11/11/2024
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November 11, 2024
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