GPU Programming Software Engineer [Remote]

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.

• 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 contract engagement.
• Compensation is output-based, with payment for each task that meets project specifications. Completion time may vary based on experience and workflow.
• Minimum submission requirements apply, including a minimum number of tasks each week.

$60 to $95 per hour.

• Roles are typically filled within 48 hours, and candidates should be ready to begin promptly.
• If selected, complete the required onboarding steps and begin your first tasks within 24 to 48 hours afterward.