Research Scientist Intern, Systems ML - SW/HW Co-Design - Inference

Meta - Menlo Park, CA

Full-time - Intern

Menlo Park, CA

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About the position

The Research Scientist Intern position in Systems ML - SW/HW Co-Design at Meta focuses on exploring and developing high-performance software and hardware technologies for AI at datacenter scale. The intern will work on defining next-generation AI Systems Inference and Training architectures, collaborating across various hardware types and workloads to drive innovation in AI technologies. This role involves working with internal teams and external partners to optimize AI workloads and ensure they are well-suited for Meta's hardware infrastructure.

Responsibilities

• Develop tools and methodologies for large scale workload analysis and extract representative benchmarks (in C++/Python/Hack) to drive early evaluation of upcoming platforms.
• Analyze evolving Meta workload trends and business needs to derive requirements for future offerings.
• Utilize extensive understanding of CPUs (x86/ARM), GPU (Nvidia/AMD/Intel), Collectives and systems to identify bottlenecks and enhance product/service efficiency.
• Collaborate closely with software developers to re-architect services, improve codebase through algorithm redesign, reduce resource consumption, and identify hardware/software co-design opportunities.
• Identify industry trends, analyze emerging technologies and disruptive paradigms.
• Conduct prototyping exercises to quantify the value proposition for Meta and develop adoption plans.
• Influence vendor hardware roadmap and broader ecosystem to align with Meta's roadmap requirements.
• Work with Software Services, Product Engineering, and Infrastructure Engineering teams to find the optimal way to deliver the hardware roadmap into production and drive adoption.

Requirements

• Currently has, or is in the process of obtaining, 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.
• Experience with hardware architecture, compute technologies and/or storage systems.

Nice-to-haves

• Intent to return to degree-program after the completion of the internship/co-op.
• 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.
• Architectural understanding of CPU, GPU, Accelerators, Networking, systems.
• Some experience with large-scale infrastructure, distributed systems, full stack analysis of server applications.
• 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.

Benefits

• $7,800/month to $11,293/month compensation based on skills and experience.
• Comprehensive benefits package including health insurance, dental insurance, and vision insurance.