Staff Software Engineer – Foundational Data Systems for AI

Granica is focused on removing inefficiencies in AI data systems. The Staff Software Engineer will build foundational data systems that enhance the efficiency and effectiveness of AI through innovative engineering and collaboration with research teams.

Responsibilities:

• Define and evolve the global metadata and transactional substrate that powers atomic consistency and schema evolution across exabyte-scale data systems
• Architect self-optimizing systems that continuously reorganize and compress data based on access patterns, achieving order-of-magnitude efficiency gains
• Pioneer new approaches to encoding and layout that push theoretical limits of signal per byte read
• Lead development of distributed compute platforms that scale predictively and maintain reliability under extreme load and failure conditions
• Collaborate with Granica Research to translate advances in compression and probabilistic modeling into production-grade, industry-defining systems
• Drive system-wide initiatives to minimize latency from insight to decision, enabling faster model learning and data-driven reasoning