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 within the AI System SW/HW Co-design team at Meta focuses on developing and optimizing high-performance software and hardware technologies for AI at datacenter scale. The intern will engage in cross-functional collaboration to define next-generation compute and storage architectures, drive technology path-finding, and influence external partners to align with Meta's infrastructure needs.

Responsibilities

• Develop tools and methodologies for large scale workload analysis and extract representative benchmarks in C++/Python/Hack.
• Analyze evolving Meta workload trends and business needs to derive requirements for future offerings.
• Utilize understanding of CPUs, Flash/HDD storage systems, networking, and GPUs to identify bottlenecks and enhance product/service efficiency.
• Collaborate with software developers to re-architect services, improve codebase, and identify hardware/software co-design opportunities.
• Identify industry trends and conduct prototyping exercises to quantify value propositions for Meta.
• Work with various engineering teams to deliver the hardware roadmap into production.

Requirements

• Currently pursuing a PhD degree in 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.

Nice-to-haves

• Track record of achieving results through grants, fellowships, patents, or publications at leading workshops or conferences.
• Architectural understanding of CPU, GPU, Accelerators, Networking, Flash/HDD Storage systems.
• Experience with large-scale infrastructure and distributed systems.
• Knowledge in developing and debugging in C/C++, Python, and/or PyTorch.
• Experience in theoretical and empirical research.

Benefits

• Compensation of $7,500/month to $11,333/month
• Equal Employment Opportunity and Affirmative Action employer
• Reasonable accommodations for candidates with disabilities