GPU Programming Software Engineer
$60–$85/hr
RemoteRemote In this role, you will apply your expertise as a GPU programmer to design GPU related tasks to train LLMs, focusing on performance and architecture. Scope of Work Design, implement, and optimiztechnology
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Role Overview
Apply GPU programming expertise to create tasks that help train large language models, with an emphasis on performance and GPU architecture.
Key Responsibilities
- Design GPU-focused tasks for large language model training.
- Design, implement, and optimize GPU-based software 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++.
Qualifications
- Advanced experience with a GPU programming language that runs on NVIDIA chips.
- Proficiency in C++.
- Experience in graphics programming, machine learning acceleration, scientific computing, high-performance computing, or another GPU-focused domain.
- Skills in CUDA, WebGPU, and GLSL are required.
Work Terms
- Remote independent contractor role.
- Compensation is output-based and paid per task that meets project specifications. Time required may vary based on experience and workflow.
- Minimum 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 the required onboarding steps.
Compensation
$60 to $85 per hour.