Research Scientist Intern, AI & Compute Foundation - MTIA SW (PhD)

Develop SW stack with one of the following core focus areas: AI frameworks, compiler stack, high performance kernel development and acceleration onto next generation of hardware architectures. Contribute to the development of the industry-leading PyTorch AI framework core compilers to support new state of the art inference and training AI hardware accelerators and optimize their performance. Analyze deep learning networks, develop & implement compiler optimization algorithms.

Collaborate with AI research scientists to accelerate the next generation of deep learning models such as Recommendation systems, Generative AI, Computer vision, NLP etc. Performance tuning and optimizations of deep learning framework & software components.

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