Senior Software Engineer – Foundational Data Systems for AI

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Senior Software Engineer – Foundational Data Systems for AI Location: Mountain View, CA — On-site About Granica Granica builds AI infrastructure for enterprises operating massive data environments. Our platform helps data and engineering teams reduce storage and compute costs, improve performance and reliability, and prepare large datasets for analytics and AI. Granica’s products include: Crunch — continuous optimization for enterprise lakehouse data Myelin — stateful infrastructure for long-running AI agents Large Tabular Models — foundation models designed for enterprise tables Together, we are building the infrastructure that enables enterprises to own their data, own the intelligence built on it, and scale both efficiently. Granica has demonstrated approximately $200K in annualized value per petabyte and verified customer value within weeks. About the Role Granica is hiring a Senior Software Engineer to build foundational data systems for AI. You will work on the core infrastructure behind Crunch, Granica’s continuous optimization product for enterprise lakehouse data. This includes systems for metadata management, table maintenance, file layout optimization, distributed compute, and workload-aware data reorganization across petabyte- and exabyte-scale environments. This is a hands-on engineering role for someone who has deep systems experience and wants to build at the intersection of data lakes, distributed systems, storage engines, query performance, and AI infrastructure. You will work closely with Granica Research, led by Prof. Andrea Montanari at Stanford, to translate ideas from information theory, probabilistic modeling, compression, and learning efficiency into production systems. What You’ll Do Build metadata and transaction systems for large-scale tabular datasets Design systems that support time travel, schema evolution, partition evolution, and atomic consistency Develop table-maintenance infrastructure for lakehouse formats such as Apache Iceberg,

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