GPU Programming Software Engineer

Design high-performance GPU programming tasks that help train large language models, with a focus on performance optimization and GPU architecture. 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, emphasizing performance and architecture.

• 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.

• Remote independent contractor engagement.
• Work is paid per completed task that meets project specifications, and the time needed may vary based on experience and workflow.
• Minimum task submission requirements apply, including a minimum number of tasks submitted 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 onboarding.

• $60 to $95 per hour.

• Apply online and complete the required account and onboarding steps. Successful applicants will be prepared to begin task work shortly after onboarding is complete.