Software Engineer, SystemML - Scaling / Performance

This role is based in Menlo Park, CA.

Compensation:

$74.04/hour to $217,000/year + bonus + equity + benefits

Responsibilities:

Enable reliable and highly scalable distributed ML training on Meta's large-scale GPU training infrastructure with a focus on GenAI/LLM scaling.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, or relevant technical field.
• Experience in machine learning/deep learning domains such as Distributed ML Training, GPU architecture, or ML frameworks like PyTorch.

Preferred Qualifications:

• Knowledge of GPU architectures and CUDA programming.
• Experience with deep learning frameworks like PyTorch, Caffe2, or TensorFlow.
• PhD in Computer Science or related field.