Meta AI's AI System SW/HW Co-design team is looking to solve the problem of optimizing high-performance software and hardware technologies for AI at datacenter scale. This involves the concurrent design, performance projection, and optimization of various system aspects, including models, algorithms, numerics, performance, and AI hardware (compute, networking, storage), to drive the AI HW roadmap and ensure AI workloads and software are well-suited for new infrastructure.
Requirements
- Knowledge of Hardware Architecture and Distributed systems with interest in one or more of High Performance Computing, Numerics, Performance, and AI hardware including compute, networking, and storage
- 2+ years experience in one or more of High Performance Computing, Numerics, Performance and AI hardware including compute, networking and storage
- Experience or knowledge in developing and debugging in C/C++, Python and/or PyTorch
- Experience in theoretical and empirical research and for answering questions with research
Responsibilities
- Lead and support research that accelerates ML applications over one or more of software, system and accelerator architectures, optimizing training and/or inference of next generation AI workloads here at Meta.
- Work towards long-term ambitious research goals, while identifying intermediate milestones.
- Lead and collaborate on research projects with other researchers and engineers across diverse disciplines.
- Communicate research agenda, progress and results.
- Influence progress of relevant research communities by producing publications.
Other
- Currently has, or is in the process of obtaining a PhD degree in the field of Computer Science or a related STEM field
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
- Track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as MICRO, ISCA, HPCA, ASPLOS, ATC, SOSP, OSDI, MLSys or similar
- Experience driving original scholarship in collaboration with a team
- Experience leading a team in solving analytical problems using quantitative approaches
- Experience communicating research for public audiences of peers
- Experience working and communicating cross functionally in a team environment
- Intent to return to the degree program after the completion of the internship/co-op
