Overview Fintech opportunity with emphasis on AI and GPU-accelerated model optimization. Remote work available for a global team. Join a pioneering organization focused on innovative products that empower businesses and individuals.

Responsibilities

Implement and optimize custom inference and fine-tuning kernels for language models across multiple hardware backends

Design and customize Vulkan compute shaders for quantized operators and fine-tuning workflows

Investigate and resolve GPU acceleration issues on Vulkan and integrated/mobile GPUs

Collaborate with research and engineering teams to prototype, benchmark, and scale new model optimization methods

Deliver production-grade, efficient language model deployment for mobile and edge use cases

Qualifications

Proven expertise in GPU acceleration with the Vulkan framework

Strong background in quantization and mixed-precision model optimization

Proficiency in C++ and GPU kernel programming

Hands-on experience with mobile GPU acceleration and model inference

Familiarity with large language model architectures (e.g., Qwen, Gemma, LLaMA, Falcon, etc.)

Preferred Qualifications

Experience with LoRA fine-tuning and parameter-efficient training methods

Ability to debug GPU-specific performance and stability issues on desktop and mobile devices

Experience creating and curating custom datasets for style transfer and domain-specific fine-tuning

Demonstrated ability to apply empirical research to overcome challenges in model optimization

#Fintech #AI #GPUAcceleration #RemoteWork #Innovation #CareerGrowth

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