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GPU Kernel Engineer - Canada - Acceler8 Talent
Description
Company Overview:
Join a pioneering startup at the forefront of Large Language Models (LLM) technology. Having successfully completed our Series A funding round from top-tier VC firms and industry leaders, we're expanding our foundational team to further our mission in the LLM arena. Our aim is to develop sophisticated LLMs that can revolutionize various industries, from digital assistants to advanced data analysis.
Role Description for GPU Kernel Engineer (CUDA/ Triton):
As a specialist in GPU Kernels, you will play a crucial role in ensuring ultra-efficient training and inference for our expansive neural networks. Your responsibilities will include developing high-throughput, low-latency GPU kernels using CUDA or Triton, optimizing kernel fusions, and enhancing multi-GPU communication. Your expertise in GPU programming will be vital in pushing the boundaries of what LLMs can achieve.
Key Responsibilities of this GPU Kernel Engineer (CUDA/ Triton):
What We Offer this GPU Kernel Engineer:
This is an exciting opportunity to be part of a team that's shaping the future of LLM technology. Your work will contribute directly to the development of groundbreaking AI solutions that will have a lasting impact on the industry.
Keywords: Artificial Intelligence, Machine Learning, GPU Kernel, Graphic Processing Units, CUDA, Triton, Inference, Training, Optimization, Neural Network Models, Parallel Computing, Low Level Optimization, Compilers, Software Architecture, Workload Mapping, Implementation, Testing, Bringup, and Debug, Kernel Components, Kernel Infrastructure, Compute Kernels