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

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 developing and optimizing high-performance software and hardware technologies for AI at datacenter scale. The intern will work cross-functionally with various engineering teams to define next-generation compute and storage architectures, analyze workload trends, and influence industry partners to align with Meta's infrastructure roadmap.

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), Flash/HDD storage systems, networking, and GPUs 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.
• Experience with hardware architecture, compute technologies and/or storage systems.
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
• Intent to return to degree-program after the completion of the internship/co-op.

Nice-to-haves

• 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, Flash/HDD Storage 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
• Health insurance
• Paid holidays
• Flexible scheduling
• Professional development opportunities