Experienced CUDA Developer Needed
Budget: ₹75,000 – ₹150,000 INR
CUDA Developer 5+ YOE
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
Mandatory Skills: C++ 5 years, LLM 2 years
Total Years Of exp- 5+ years experience mandatory
Opportunity- Full Time, 8 hours (4 Hours Overlap with PST Timezone)
Notice Period: Immediate
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
Mandatory Skills: C++ 5 years, LLM 2 years
Total Years Of exp- 5+ years experience mandatory
Opportunity- Full Time, 8 hours (4 Hours Overlap with PST Timezone)
Notice Period: Immediate