Meta
Research Scientist Intern, AI & System Co-Design (PhD)
Menlo Park, CA · Internship · Posted Oct 13, 2026
- Experience
- No specific number of years stated.
- Education
- Currently has, or is in the process of obtaining, a PhD degree in Computer Science or a related STEM field.
- Visa sponsorship
- Must obtain work authorization in the country of employment by hire and maintain it during employment.
About the job
Conduct research on AI software and hardware co-design, optimizing next-generation AI workload training and inference across software, systems, and accelerator architectures.
What you'll do
- Lead and support research to accelerate ML applications and optimize AI workload training or inference.
- Collaborate on research projects, set milestones, and communicate research progress and results.
- Publish research that advances relevant research communities.
What they ask for
- Currently has or is pursuing a PhD in Computer Science or a related STEM field.
- Strong knowledge of hardware architecture, distributed systems, and AI frameworks.
- Experience or knowledge developing and debugging in C/C++, Python, and/or PyTorch.
- Must obtain and maintain work authorization in the country of employment; intend to return to the degree program after the internship.
Nice to have
- Track record of research results, such as first-authored publications at leading workshops or conferences.
- Interest in high-performance computing, numerics, performance, or AI hardware, including compute, networking, and storage.
Pay
$7,650/month to $12,667/month (currency not stated; compensation type not stated)
Tools
C/C++, Python, PyTorch, GPUs, ASICs
AI focus
Research and optimize AI workloads, including training and inference, through software/hardware co-design and accelerator architecture development.
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