MINIMUM QUALIFICATIONS

• 2+ years of programming experience in a relevant programming language
• 2+ years relevant experience building large-scale infrastructure systems or similar experience
• 1+ year of experience identifying, designing and completing medium to large features independently without guidance
• Experience with scripting languages such as Python, Javascript or Hack
• Experience building and shipping high quality work and achieving high reliability
• Currently has, or is in the process of obtaining a Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta

PREFERRED QUALIFICATIONS

• Exposure to architectural patterns of large scale software applications
• Experience in programming languages such as C, C++, Java
• Hands-on experience with large-scale ML infra systems (for example, GPU training clusters)
• Experience in training and/or inference solutions for large models (e.g. recommendation models or LLMs)
• Experience in high performance computing including communication optimization, CUDA kernel optimization, distributed training and inference, etc

• Identify performance opportunities and bottlenecks across a wide range of Facebook video recommendation models, infrastructure and systems
• Implement changes to capture efficiency improvements
• Help other engineers both inside and outside the team to execute on efficiency and performance opportunities, issues and bottlenecks