Summary:

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.

Required Skills:

Software Engineer - Systems Specialist Responsibilities:

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

2. Implement ML model optimisation features

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

4. SW development using C++/C and Python

5. Work closely with other teams to deliver impact

6. develop & improve features and innovations

7. Extend and optimize large scale learning collective operations

Minimum Qualifications:

Minimum Qualifications:

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

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

10. Experience of ML systems & AI Frameworks (like PyTorch)

11. Solid experience developing in C++/C

12. English language proficiency

Preferred Qualifications:

Preferred Qualifications:

13. GPU architecture experience

14. Experience with distributed systems at scale

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

16. Experience of large scale machine learning clusters

Industry: Internet