Staff Software Engineer – Foundational Data Systems for AI

November 7

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Granica

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Artificial Intelligence • SaaS • Cybersecurity

Granica is a company that specializes in optimizing data for artificial intelligence applications. They offer a comprehensive AI data readiness platform designed to build and manage high quality data that powers safe, efficient, and effective AI at scale. Granica provides solutions like Crunch, which optimizes data storage and processing, Screen, which ensures data privacy and security, and Signal, which selects and refines data for AI training. They focus on reducing data storage and compute costs while enhancing AI development and data pipeline efficiency. Granica also emphasizes ethical AI governance, data encryption, and bias detection, catering to various industries such as financial services, e-commerce, and robotics.

11 - 50 employees

🤖 Artificial Intelligence

☁️ SaaS

🔒 Cybersecurity

📋 Description

• 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.

🎯 Requirements

• Mastery of distributed systems: consensus, replication, consistency, and performance at scale. • Proven track record of architecting and delivering large-scale data or compute systems with measurable 10× impact. • Expertise with columnar formats and low-level data representation techniques. • Deep production experience with Spark, Flink, or next-generation compute frameworks. • Fluency in Java, Rust, Go, or C++, emphasizing simplicity, performance, and maintainability. • Demonstrated leadership—mentoring senior engineers, influencing architecture, and scaling technical excellence. • Systems intuition rooted in theory: compression, entropy, and information efficiency.

🏖️ Benefits

• Competitive salary, meaningful equity, and substantial bonus for top performers • Flexible time off plus comprehensive health coverage for you and your family • Support for research, publication, and deep technical exploration