GPU Programming Software Engineer

Role Overview

Design GPU-focused tasks that help train large language models, with an emphasis on performance and architecture. This remote contract role combines hands-on GPU software development with technical evaluation work.

Key Responsibilities

• Design GPU-related tasks for LLM training, focused on performance and architectural considerations.
• Design, implement, and optimize GPU-based software solutions using CUDA, WebGPU, or GLSL.
• Profile and fine-tune GPU kernels and shaders to maximize performance and efficiency.
• Develop host-side logic and integrations in C++.

Qualifications

• Experience with CUDA, WebGPU, GLSL, and C++.
• Advanced experience with a GPU programming language that runs on NVIDIA chips.
• Background in graphics programming, machine learning acceleration, scientific computing, high-performance computing, or another GPU-focused domain.
• Proficiency in C++.

Work Terms

• Remote independent-contractor engagement.
• Compensation is output-based and paid for each task that meets project specifications. Completion time may vary based on experience and workflow.
• Minimum task-submission requirements apply each week.
• Roles are typically filled within 48 hours. Selected candidates should be ready to begin their first tasks within 24 to 48 hours after completing the required setup process.

Compensation

$60 to $95 per hour.