In the process of obtaining, PhD degree in the field of Computer Science or a related STEM field Research experiences in one or more of: AI compilers, high-performance kernel development, deep learning framework and runtime internals, numerics and low-precision formats, or parallelism strategies for large-scale training and inference Knowledge of machine learning systems and computer architecture, including the memory and storage hierarchy, parallel execution, and performance analysis on accelerated hardware Proven C/C++, Python or Rust programming skills Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment OR AI Compiler: Experience with compiler optimizations such as loop optimizations, vectorization, parallelization, hardware specific optimizations such as SIMD. Experience in accelerating libraries on AI hardware, similar to cuBLAS, cuDNN, CUTLASS, HIP, ROCm etc Experience in system performance optimizations such as runtime analysis of latency, memory bandwidth, I/O access, compute utilization analysis and associated tooling development Knowledge of GPU, CPU, or AI hardware accelerator architectures Track record of achieving results as demonstrated by publications at leading systems conferences such as MLSys, OSDI, ASPLOS, ISCA, or CGO, or systems-focused work at ML venues such as NeurIPS, ICML, or ICLR Experience working and communicating cross functionally in a team environment Intent to return to a degree-program after the completion of the internship/co-opMeta builds technologies that help people connect, find communities, and grow businesses.