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GPU Software Engineer

1 month ago


Reston, Virginia, United States Acceler8 Talent Full time
GPU Software Engineer - Distributed Machine Learning

Acceler8 Talent is seeking a skilled GPU Software Engineer to join our team and contribute to the development of high-performance compute kernels and infrastructure for distributed machine learning applications.

About the Role

As a GPU Software Engineer, you will be responsible for designing and implementing novel algorithms with a focus on numerical stability and efficient multi-GPU training flows. You will work closely with our team to develop and optimize GPU kernels and infrastructure from deep learning frameworks down to intermediate representations for distributed training.

Key Responsibilities
  • Design and implement novel algorithms for numerical stability and efficient multi-GPU training flows.
  • Develop and optimize GPU kernels and infrastructure from deep learning frameworks down to intermediate representations for distributed training.
  • Implement low-level GPU optimizations to enhance performance and ensure numerical accuracy.
  • Contribute to reproducibility in distributed machine learning systems.
What We Offer
  • A dynamic environment with deep technical challenges at the intersection of ML and GPU compute.
  • A strong culture of autonomy, where your expertise drives meaningful contributions.
  • Competitive compensation aligned with your impact and experience.
  • Flexible working conditions with a focus on collaboration and innovation.

This is an exciting opportunity to work with a forward-leaning company that specializes in creating scalable solutions for efficient compute across GPUs, supporting the growth of AI/ML technologies by leveraging innovative hardware and software integration.