Description

You will port image reconstruction logic from MATLAB to GPU architectures and optimize for high-performance execution.

This role is on-site.

Responsibilities

• Implement image reconstruction algorithms using OpenCL and CUDA.
• Optimize code for high-performance execution across various computing devices.
• Conduct automation and performance testing for GPU applications.
• Apply parallel computing concepts to manage memory hierarchy and execution models.

Required Skills

• 5+ years of experience in GPU computing and parallel programming.
• Deep understanding of GPU architecture, memory systems, and computer architecture.
• Proficiency in OpenCL and CUDA.
• Experience with parallel algorithms and performance optimization.
• Ability to port and adapt MATLAB algorithms to GPU environments.
• Strong technical communication skills for collaborative work.
• Degree in any field of study.

Preferred Skills

• Experience with NVIDIA Nsight for profiling and debugging.
• Familiarity with OneAPI.

Key Skills

Education

Any Graduate