GPU Programming Software Engineer

Design high-performance GPU programming tasks that help train large language models, with a focus on architecture, efficiency, and performance optimization. Key Responsibilities Design, implement, and optimize GPU-based software solutions using CUDA, WebGPU, or GLSL. Profile and refine GPU kernels and shaders to maximize performance and efficiency. Develop host-side logic and integrations in C++. Create GPU-focused tasks for LLM training that draw on performance and architecture expertise. Qualifications Advanced experience with a GPU programming language that runs on NVIDIA chips. Proficiency in C++. Experience with CUDA, WebGPU, or GLSL. Background in graphics programming, machine learning acceleration, scientific computing, high-performance computing, or another GPU-focused domain. Work Terms Remote independent contractor engagement. Work is task-based, and completion time may vary based on experience and workflow. Minimum submission requirements apply, including a required minimum number of tasks per week. Compensation Advertised pay range: $60 to $95 per hour. Compensation is output-based and paid per task that meets project specifications. Application Process Selected candidates are expected to complete onboarding and begin their first tasks within 24 to 48 hours afterward.