Granica is looking to solve the problem of inefficient data systems that limit the potential of AI, by building the infrastructure for a new kind of intelligence that is structured, efficient, and deeply integrated with data.
Requirements
- Depth in distributed systems: consensus, partitioning, replication, fault tolerance.
- Experience with columnar formats such as Parquet or ORC and low-level encoding strategies.
- Understanding of metadata-driven architectures and adaptive query planning.
- Production experience with Spark, Flink, or custom distributed engines on cloud object storage.
- Proficiency in Java, Rust, Go, or C++ with an emphasis on clarity and quality.
- Curiosity about theory of the mathematics of compression, entropy, and learning efficiency.
- Familiarity with Iceberg, Delta Lake, or Hudi
Responsibilities
- Architect the transactional and metadata substrate that supports time-travel, schema evolution, and atomic consistency across petabyte-scale tabular datasets.
- Build systems that reorganize data autonomously, learning from access patterns and workloads to maintain peak efficiency without manual tuning.
- Optimize bit-level organization (encoding, compression, layout) to extract maximal signal per byte read.
- Develop distributed compute systems that scale predictively, adapt to dynamic load, and maintain reliability under failure.
- Implement new algorithms in compression, representation, and optimization emerging from ongoing research.
- Design for minimal time between question and insight, enabling models and humans to learn faster from data.
- Build Global Metadata Substrate, Adaptive Engines, Intelligent Data Layouts, Autonomous Compute Pipelines
Other
- 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
- Real Ownership: Design primitives that will underpin the next decade of AI infrastructure.
- High-Trust Environment: Deep technical work, minimal bureaucracy, shared mission.
