About the job
The Principal Compiler Engineer - ML Systems position will be responsible for working with the different layers of the compiler stack and coordinating with other development teams here at SambaNova. It is a critical role 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.
Responsibilities
Lead compiler engineering through ensuring standard methodologies, enterprise product insertion and process evolution.
Work with peers, domain experts, developers, customers, and work across the enterprise seeking optimal solutions.
Develop, integrate, and implement products.
Provide support for proposals in key areas aligned with core team competencies.
Qualifications
Minimum
Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, or equivalent with 5-10 years of industry experience.
Preferred
Experience with MLIR.
Familiarity with machine learning models and frameworks.
Familiarity with accelerated computing.
Exposure to dataflow architectures.