SambaNova Systems is seeking a Principal Compiler Engineer for their ML Systems team in Palo Alto. The role involves driving innovation in compiler infrastructure and optimization algorithms to enhance ML model performance on their generative AI platform, requiring a deep understanding of compiler fundamentals and experience with deep learning frameworks
Job Summary
Responsible for driving innovation in compiler infrastructure and optimization algorithms that enable state-of-the-art ML model performance on the SambaNova platform.
This can involve anything from digging through PyTorch and machine learning models to determining how to map operations on to our underlying hardware.
Lead compiler engineering through ensuring standard methodologies, enterprise product insertion and process evolution.
Matching Summary
Match Score: 85
SambaNova Systems is seeking a Principal Compiler Engineer for their ML Systems team in Palo Alto. The role involves driving innovation in compiler infrastructure and optimization algorithms to enhance ML model performance on their generative AI platform, requiring a deep understanding of compiler fundamentals and experience with deep learning frameworks.
Skills & Requirements
Must-have
Compiler infrastructure innovation
Optimization algorithms for ML
Deep learning frameworks
High-performance systems engineering
Nice-to-have
Cross-disciplinary collaboration
Enterprise product insertion
Process evolution
Key Requirements
5-10 years of industry experience
Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, or equivalent
Deep theoretical understanding of compiler fundamentals
Experience building and deploying software products