Staff Research Scientist, Compiler Optimization

• Implement software functionality to transition compiler research concepts into practical implementations.
• Design new compiler optimizations and algorithms, and author research publications for academic venues.
• Contribute to specialized machine learning compiler frameworks, including EnzymeAD and Reactant.
• Contribute directly to upstream Multi-Level Intermediate Representation (MLIR) open-source projects.
• Execute code integrations from upstream MLIR into internal software repositories.

Minimum qualifications:

• PhD in Computer Science, a related field, or equivalent practical experience.
• 4 years of experience working with compilers and performance optimization.
• 4 years of experience programming in C++.
• 4 years of experience with research agendas across multiple teams or projects.
  
• One of more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

Preferred qualifications:

• 2 years of experience in coding and leading multiple research efforts and influencing research direction.
  
• Experience in compiler research, with a track record of publications in academic venues.
• Experience with the MLIR framework and contributing to upstream open-source projects.

• PhD in Computer Science, a related field, or equivalent practical experience.
• 4 years of experience working with compilers and performance optimization.
• 4 years of experience programming in C++.
• 4 years of experience with research agendas across multiple teams or projects.
  
• One of more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).