GPU Programmer - Remote

YO IT Consulting; Los Angeles (CA); Remote; USD 83,000 - 179,000; Full time

Job summary

YO IT Consulting in Los Angeles is 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.

This remote contractor role emphasizes profiling GPU kernels and shaders, developing host-side logic, and creating GPU-focused tasks for AI workloads while improving performance through targeted

Qualifications

• Experience with GPU programming, especially NVIDIA GPUs.
• Proficiency in CUDA, WebGPU, or GLSL.
• Strong C++ programming skills.
• Background in graphics programming, ML acceleration, HPC, or related GPU fields.
• Solid understanding of GPU architecture and optimization.

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.

Skills

GPU programming

C++ development

Performance optimization

Graphics programming

Tools

CUDA

WebGPU

GLSL

Job description

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.

Job Type

Job Type: Contractor

Location

Location: Remote

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 performance optimization.