About the RoleA 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:- 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.
Mandatory Skills: C++ -5 years, LLM - 2 years (( Optional) , 2 years exp in CUDA development.
Opportunity: Full Time, 8 hours (4 Hrs overlap with PST timezone)
Please email your resume to [Confidential Information] for this or any other tech stack in IT
