Overview
GPU Kernel Engineer/CUDA/Triton Jobs in Sandyville at Acceler8 Talent
Title: GPU Kernel Engineer/CUDA/Triton
Company: Acceler8 Talent
Location: Sandyville
Category: IT/Tech, Software Development
Location: Sandyville
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):
Implement and optimize GPU kernels for large-scale neural network models, with a focus on CUDA or Triton.
Innovate in the area of kernel fusion and maximize multi-GPU
communication
efficiency.
Collaborate with our team of experts in LLMs to build and deploy powerful and efficient AI solutions.
What We Offer this GPU Kernel Engineer:
Option for remote or hybrid working arrangement, with offices in NYC/SF.Highly
competitive salary
, positioned at the 90th percentile of the market.
Generous equity and
benefits package
, reflecting your key role in our growth.
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.
