Verified Job
IT / Software / Data Analyst
GPU Programmer - Remote
IT / Software / Data Analyst
#813212
Remote / WFH
YO AI Labs ·
Job Description
Job Type: Contractor
Location: Remote
Job Overview
We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your expertise in GPU programming, performance optimization, and C++ development to build high-performance solutions.
Key Responsibilities
• Design, implement, and optimize GPU software using CUDA, WebGPU, or GLSL.
• Profile and optimize GPU kernels and shaders for performance and efficiency.
• Develop host-side logic and GPU integrations using C++.
• Create GPU-focused tasks and solutions for AI/LLM applications.
• Analyze performance bottlenecks and implement optimization strategies.
Required Qualifications
• Strong experience with GPU programming, particularly on NVIDIA GPUs.
• Proficiency in CUDA, WebGPU, or GLSL.
• Strong C++ programming skills.
• Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU-focused fields.
• Strong understanding of GPU architecture and performan
Location: Remote
Job Overview
We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your expertise in GPU programming, performance optimization, and C++ development to build high-performance solutions.
Key Responsibilities
• Design, implement, and optimize GPU software using CUDA, WebGPU, or GLSL.
• Profile and optimize GPU kernels and shaders for performance and efficiency.
• Develop host-side logic and GPU integrations using C++.
• Create GPU-focused tasks and solutions for AI/LLM applications.
• Analyze performance bottlenecks and implement optimization strategies.
Required Qualifications
• Strong experience with GPU programming, particularly on NVIDIA GPUs.
• Proficiency in CUDA, WebGPU, or GLSL.
• Strong C++ programming skills.
• Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU-focused fields.
• Strong understanding of GPU architecture and performan
