CUDA Developer (2)-21488
Job Description
About Turing
Based in Palo Alto, California, Turing is the world’s first AI-powered tech services company. It has reimagined tech services from the ground up with AI by offering AI-vetted and matched talent, AI-accelerated development, and access to AI transformation experts who have built many of the most iconic Silicon Valley companies.
Founded in 2018, the company has experienced tremendous growth with three million global developers on its Talent Cloud and 900+ clients. Turing has received numerous awards, including Forbes’s 2022 “One of America’s Best Startup Employers,” being ranked #1 in The Information’s 2021 Annual List of most promising B2B Companies and Fast Company’s “Annual List of the World’s Most Innovative Companies.”
The company’s leadership team comprises both AI technologists from leading organizations including Meta, Google, Microsoft, Apple, Amazon, Twitter, Stanford, Caltech, MIT as well as tech consulting veterans from Accenture, Cognizant, Capgemini, McKinsey, Bain, and more.
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 Requirement
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.
Search Guidance
Location: Open
Exclude Location- United States, Canada, China, Ethiopia, OFAC Countries
Mandatory Skills: Cuda - 2 yrs, 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 Months
