Bangalore
Remote
Mid-Level: 4 to 8 years
Posted on Jan 22 2025

Not Accepting Applications

About the Job

Skills

CUDA Toolkit
C/C++ Programming
OpenCL
NVIDIA GPUs
Parallel Computing
Thrust Library
Python CUDA Libraries
GPGPU Optimization

Experience - 5+ yrs

Relevant experience in CUDA - 3+ yrs

Notice Period - Immediate Joiners

Work Mode - Remote


Key Responsibilities:

Identify and resolve performance issues and bugs in CUDA applications.

Optimize algorithms for efficient parallelization and performance improvement.

Stay updated with CUDA technologies, frameworks, and best practices.


Required Skills:

Proficiency in C/C++ programming.

Expertise in CUDA development (3+ years), with experience in CUDA 12.0 or above (12.3 preferred).

Strong knowledge of performance optimization and resource-efficient code.

Familiarity with libraries/frameworks like cuBLAS and cuDNN.

Experience in CUDA performance optimization and debugging.


Please share your updated CV to Rashmi on rashmi@people-click.com

About the company

IT SERVICES HR CONSULTANCY TRAINING

Industry

TRAI

Company Size

11-50 Employees

Headquarter

Bengaluru

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