About the Job:
Join Tether and help shape the future of digital finance. As a Senior AI Research Engineer, you will play a crucial role in advancing our AI capabilities. Your primary responsibility will be to extend the inference framework for language models with a strong emphasis on mobile and integrated GPU acceleration (Vulkan). This position requires hands-on experience with quantization techniques, LoRA architectures, and mobile GPU debugging, positioning you at the forefront of next-generation small and large language model (SLM/LLM) inference and fine-tuning performance.
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Responsibilities:
- Implement and optimize custom inference and fine-tuning kernels for language models across various hardware backends.
- Design and extend datatype and precision support for various numerical formats.
- Customize and optimize Vulkan compute shaders for quantized operators and fine-tuning workflows.
- Investigate and resolve GPU acceleration issues on Vulkan and integrated/mobile GPUs.
- Architect support for advanced quantization techniques to enhance efficiency and memory usage.
- Conduct GPU testing across desktop and mobile devices and collaborate with research and engineering teams.
Requirements:
- Proficiency in C++ and GPU kernel programming.
- Expertise in GPU acceleration using Vulkan framework.
- Strong background in quantization and mixed-precision model optimization.
- Familiarity with large language model architectures (e.g., Qwen, Gemma, LLaMA).
- Experience with mobile GPU acceleration and model inference.
- Excellent English communication skills.
Work Conditions:
- Full-time remote position.
Join us in pioneering solutions that empower businesses globally through innovative technology and a commitment to transparency. If you're ready to contribute to a leading fintech platform, apply today!
