Software Engineer - Systems Generalist

Meta is looking for software engineers to help scale and improve the efficiency of large AI/ML work loads.

A part of this is enabling high performance interconnect (HPI) solutions, optimising collective operations to improve machine learning model performance.This is an opportunity to work within a highly skilled team, collaborating with a large set of cross-functional partners and help bringing next generation large cluster architectures to life.

Responsibilities:

Software Engineer - Systems Generalist Responsibilities:

Support networking and compute hardware acceleration techniques to improve ML inference and training model performance

Implement ML model optimisation features

Debug custom and third party multi-host, accelerator enabled AI platforms

SW development using C++/C and Python

Work closely with other teams to deliver impact

develop & improve features and innovations

Extend and optimize large scale learning collective operations

Qualification and experience:

Minimum Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Specialized experience in one or more of the following machine learning/deep learning domains: Hardware accelerators, AI Infrastructure, OR high performance computing,

Experience of ML systems & AI Frameworks (like PyTorch)

Solid experience developing in C++/C

English language proficiency

Preferred:

Preferred Qualifications:

GPU architecture experience

Experience with distributed systems at scale

Parallel programming in MPI, OpenMP, Posix threads or similar distributed frameworks or languages

Experience of large scale machine learning clusters