Location
toronto, on, Canada
Posted
June 04, 2026
Job Description
Join Cerebras Systems as a New Grad ML Compiler Optimization Engineer, specializing in optimizing compiler technologies for AI chips on an unprecedented scale. Contribute to major advancements in AI workloads.
This position empowers new graduates to play a pivotal role in enhancing compiler performance for Cerebras's AI chip architecture. You will work closely with machine learning teams to identify and resolve performance challenges while advancing compiler efficiency and scalability.
Key Responsibilities:
ā¢ Optimize AI compiler technologies using LLVM and MLIR
ā¢ Identify and mitigate performance bottlenecks
ā¢ Integrate optimizations with various AI frameworks
ā¢ Innovate techniques to enhance compiler technologies
Requirements:
ā¢ Masterās degree in a relevant field
ā¢ Strong skills in C/C++ programming
ā¢ Experience in low-level optimization
ā¢ Background in optimization techniques preferred
ā¢ Familiarity with MLIR is a plus
Drive the future of AI t...
This position empowers new graduates to play a pivotal role in enhancing compiler performance for Cerebras's AI chip architecture. You will work closely with machine learning teams to identify and resolve performance challenges while advancing compiler efficiency and scalability.
Key Responsibilities:
ā¢ Optimize AI compiler technologies using LLVM and MLIR
ā¢ Identify and mitigate performance bottlenecks
ā¢ Integrate optimizations with various AI frameworks
ā¢ Innovate techniques to enhance compiler technologies
Requirements:
ā¢ Masterās degree in a relevant field
ā¢ Strong skills in C/C++ programming
ā¢ Experience in low-level optimization
ā¢ Background in optimization techniques preferred
ā¢ Familiarity with MLIR is a plus
Drive the future of AI t...