Meta
Research Scientist Intern, AI & Compute Foundation - MTIA SW (PhD)
Menlo Park, CA · Internship · Posted Oct 13, 2026
- Experience
- No number of years stated.
- Education
- 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 at the time of hire and maintain ongoing work authorization during employment.
About the job
Develop and optimize software for Meta’s MTIA AI accelerators, including AI frameworks, compiler components, high-performance kernels, and deep learning workloads.
What you'll do
- Develop AI framework, compiler, kernel, or hardware-acceleration software.
- Analyze deep learning networks and implement compiler and performance optimizations.
- Collaborate with AI researchers to accelerate training and inference for models including recommendation systems, generative AI, computer vision, and NLP.
What they ask for
- Be pursuing a PhD in Computer Science or a related STEM field.
- Have research experience in at least one listed area, such as AI compilers, high-performance kernels, framework internals, numerics, or large-scale parallelism.
- Demonstrate C/C++, Python, or Rust programming skills and knowledge of machine learning systems and computer architecture.
- Obtain and maintain work authorization in the country of employment; intend to return to a degree program after the internship.
Nice to have
- Experience with compiler optimization, AI framework components, or AI accelerator kernels, depending on focus area.
- Experience with performance analysis and optimization, GPU/CPU/accelerator architectures, or publications at listed systems or ML venues.
Pay
$7,650/month to $12,667/month (base salary)
Tools
C/C++, Python, Rust, PyTorch, MLIR, LLVM, CUDA, OpenMP
AI focus
Accelerate AI training and inference on MTIA hardware through framework and compiler development, kernel optimization, and performance tuning.
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