# Research Scientist Intern - AI & System Co-Design at Meta

- Company: [Meta](https://meta.com)
- Location: Menlo Park, CA
- Type: Internship · Internship
- Posted: 2026-10-13
- Apply: https://www.metacareers.com/jobs/1062032900196411
- Page: https://newgrad.ai/jobs/research-scientist-intern-ai-system-co-design-f891cd20

## Summary by newgrad.ai

What you'll do:

- Optimize AI software and hardware for large-scale datacenter environments.
- Develop architectures for training and inference across GPUs and ASICs.
- Research performance improvements for recommendation models and LLMs.

What they're looking for:

- Availability for internships lasting 12 to 24 weeks.
- Ability to work on distributed systems and AI workload optimization.
- Interest in co-designing hardware and software for future AI infrastructure.

## Posting

The AI 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, performance projection, and optimization of many aspects of the system such as models, algorithms, numerics, performance, and AI hardware including compute, networking, and storage. We drive the AI HW roadmap at Meta and ensure our existing and future AI workloads and software are well optimized and suited for new infrastructure. The team works across HW types (GPUs, ASICs), workload types (Recommendation Models, LLM, LDM) and workloads (Training & Inference). See our webpage https://aisystemcodesign.github.io for a broader introduction to how we operate as well as our recent publications.

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 and distributed systems, and developing architectures to enable the future of AI SW/HW co-design.

Our team at Meta AI offers twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year. To learn more about our research, visit https://ai.facebook.com.

From Meta's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.

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More new-grad and intern roles: https://newgrad.ai/llms.txt