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Form of workAI System SW/HW Co-design team’s mission is to explore, develop and help productize high-performance software and hardware technologies for AI at datacenter scale. We achieve this via concurrent design and optimization of many aspects of the system such as models, algorithms, numerics, performance and AI hardware including compute, networking and storage. In essence, we drive the AI HW roadmap at Meta and ensure our existing and future AI workloads and software are well optimized and suited for the hardware infrastructure. We’re a diverse group of problem solvers driven by a culture of experimentation and innovation. As a Research Scientist Intern, you will be a key member of a team of innovators, working on leading AI workloads, distributed systems, and developing architecture to enable the future of AI SW/HW co-design. Please note, this is for a Fall internship. Our team at Meta AI offers twelve (12) to sixteen (16) weeks long internships and we have various start dates throughout the year. To learn more about our research, visit https://ai.facebook.com.
- 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 gen 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.
Minimum Qualifications:
- Currently has, or is in the process of obtaining, PhD degree in the field of Computer Science or a related STEM field.
- Strong knowledge of Computer Architecture and Distributed systems with interest in one or more of High Performance Computing, Numerics, Performance and AI hardware including compute, networking and storage.
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications:
- 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.
- 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 driving original scholarship in collaboration with a team.
- Experience leading a team in solving analytical problems using quantitative approaches.
- Interpersonal experience: cross-group and cross-culture collaboration.
- Experience in theoretical and empirical research and for answering questions with research.
- Experience communicating research for public audiences of peers.
- Intent to return to degree-program after the completion of the internship/co-op.
