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:

• 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++. - Mandatory
• 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

Location: All Location

Exclude Location- United States, Canada, China, Ethiopia, OFAC Countries

Max Hourly rate:  $34 p/hr USD

Mandatory Skills: C++  5 years, LLM  2 years

Total Years Of exp- 5+ years experience mandatory
Opportunity- Full Time, 8 hours
Notice Period: 2 weeks only

Engagement length - 6-12-Months