Granica is at the forefront of building the infrastructure for a new era of AI: one that is structured, efficient, and deeply integrated with data. Our AI Data Readiness Platform empowers data engineers and leaders to prepare AI-ready data, leading to improved models, controlled costs, and enhanced privacy. Operating at exabyte scale and processing petabytes daily for leading global enterprises, Granica is redefining AI by focusing on more efficient data systems rather than solely on larger models. Our mission is to eliminate data inefficiency through innovations in information theory, probabilistic modeling, and distributed systems, creating self-optimizing data infrastructure. Engineers at Granica collaborate closely with research to translate cutting-edge advances in compression and probabilistic modeling into production-grade systems. You'll build foundational components like global metadata substrates, adaptive data reorganization engines, intelligent data layouts, and autonomous compute pipelines, all aimed at maximizing efficiency and minimizing latency. We are looking for engineers with mastery of distributed systems, expertise in columnar formats, and proficiency in languages like Java, Rust, Go, or C++. A strong systems intuition rooted in theory, coupled with a builder's mindset and a passion for bridging research and production, is highly valued. Granica offers a unique opportunity to work at the intersection of fundamental research and enterprise impact, shaping the infrastructure that powers the next decade of AI. We foster a high-trust environment with minimal bureaucracy, prioritizing deep technical work and a shared mission. Our team is backed by top-tier investors like NEA and Bain Capital, supporting a long-term vision for building a generational company. We offer competitive compensation, meaningful equity, flexible time off, and support for research and deep technical exploration, all within a globally distributed and remote-friendly culture.