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

• Help design and implement the metadata substrate that supports time-travel, schema evolution, and atomic consistency across massive tabular datasets. • Build components that reorganize data autonomously, learning from access patterns and workloads to maintain efficiency with minimal manual tuning. • Develop and refine bit-level encodings, compression, and layout strategies to extract maximum signal per byte read. • Contribute to distributed compute systems that scale predictively and adapt to dynamic load. • Translate new algorithms in compression and representation from research into production-grade implementations. • Design and optimize data paths to minimize time between question and insight, enabling faster learning for both models and humans.

🎯 Requirements

• Foundational understanding of distributed systems: partitioning, replication, and fault tolerance. • Experience or curiosity with columnar formats such as Parquet or ORC and low-level data encoding. • Familiarity with metadata-driven architectures or data query planning. • Exposure to or hands-on use of Spark, Flink, or similar distributed engines on cloud storage. • Proficiency in Java, Rust, Go, or C++ and commitment to clean, reliable code. • Curiosity about how compression, entropy, and representation shape system efficiency and learning. • A builder’s mindset—eager to learn, improve, and deliver features end-to-end with growing autonomy.

🏖️ 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