Senior Software Engineer – Foundational Data Systems for AI

Granica combines research in information theory, probabilistic modeling, and distributed systems to build self-optimizing data infrastructure for AI. The engineering team partners with the Granica Research group led by Prof. Andrea Montanari (Stanford), bridging advances in information theory and learning efficiency with large-scale distributed systems. Key areas include global metadata substrate, adaptive engines, intelligent data layouts, autonomous compute pipelines, research to production, a

Depth in distributed systems: consensus, partitioning, replication, fault tolerance. Experience with columnar formats such as Parquet or ORC and low-level encoding strategies. Understanding of metadata-driven architectures and adaptive query planning. Production experience with Spark, Flink, or custom distributed engines on cloud object storage. Proficiency in Java, Rust, Go, or C++ with an emphasis on clarity and quality. Curiosity about theory of the mathematics of compression, entropy, and le