Principal Compiler Engineer - ML Systems at SambaNova
Interview Preparation Plan
As a Principal Compiler Engineer - ML Systems at SambaNova, you will be responsible for driving innovation within the compiler infrastructure and optimization algorithms. This critical role involves working closely with various layers of the compiler stack and coordinating with development teams to ensure state-of-the-art ML model performance on the SambaNova platform. Your work will span from analyzing machine learning models and frameworks like PyTorch to mapping operations onto the company's underlying hardware. You will play a key part in ensuring standard methodologies, product insertion, and process evolution within compiler engineering, collaborating with peers, domain experts, developers, and customers to find optimal solutions. This position requires a deep theoretical understanding of compiler fundamentals and practical experience in building and deploying software products. The role offers an exciting opportunity to contribute to high-performance systems engineering and performance debugging within the rapidly evolving field of AI and machine learning. You will be instrumental in developing, integrating, and implementing products, while also providing support for proposals aligned with core team competencies.
Key Responsibilities
- Lead compiler engineering efforts, ensuring standard methodologies and process evolution.
- Drive innovation in compiler infrastructure and optimization algorithms for ML models.
- Analyze and optimize ML models (e.g., PyTorch) for performance on SambaNova's hardware.
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