Senior Software Engineer – Foundational Data Systems for AI

Senior Software Engineer – Foundational Data Systems for AI

Granica is an AI research and systems company building the infrastructure for a new kind of intelligence : one that is structured, efficient, and deeply integrated with data. Our systems operate at exabyte scale, processing petabytes of data each day for some of the world’s most prominent enterprises in finance, technology, and industry. These systems are already making a measurable difference in how global organizations use data to deploy AI safely and efficiently.

We believe that the next generation of enterprise AI will not come from larger models but from more efficient data systems. By advancing the frontier of how data is represented, stored, and transformed, we aim to make large‑scale intelligence creation sustainable and adaptive. Our long‑term vision is Efficient Intelligence : AI that learns using fewer resources, generalizes from less data, and reasons through structure rather than scale. To reach that, we are first building the Foundational Data Systems that make structured AI possible.

Base Pay Range

$190,000 – $250,000 per year

The Mission

AI today is limited not only by model design but by the inefficiency of the data that feeds it. At scale, each redundant byte, each poorly organized dataset, and each inefficient data path slows progress and compounds into enormous cost, latency, and energy waste. Granica’s mission is to remove that inefficiency. We combine new research in information theory , probabilistic modeling , and distributed systems to design self‑optimizing data infrastructure : systems that continuously improve how information is represented and used by AI.

What You’ll Build

• Global Metadata Substrate : architect the transactional and metadata substrate that supports time‑travel, schema evolution, and atomic consistency across petabyte‑scale tabular datasets.
• Adaptive Engines : build systems that reorganize data autonomously, learning from access patterns and workloads to maintain peak efficiency without manual tuning.
• Intelligent Data Layouts : optimize bit‑level organization (encoding, compression, layout) to extract maximal signal per byte read.
• Autonomous Compute Pipelines : develop distributed compute systems that scale predictively, adapt to dynamic load, and maintain reliability under failure.
• Research to Production : implement new algorithms in compression, representation, and optimization emerging from ongoing research; opportunities to publish and open‑source are encouraged.
• Latency as Intelligence : design for minimal time between question and insight, enabling models and humans to learn faster from data.

What You Bring

Bonus

Why Granica

Compensation & Benefits

Join us to build the foundational data systems that power the future of enterprise AI. At Granica, you will shape the fundamental infrastructure that makes intelligence itself efficient, structured, and enduring.

Seniority level : Mid‑Senior level

Employment type : Full‑time

Job function : Engineering and Information Technology

Industries : IT Services and IT Consulting

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