Senior Software Engineer – Foundational Data Systems for AI
Build foundational data systems for AI at scale, including global metadata, adaptive engines, and intelligent data layouts using distributed systems, columnar formats, and languages like Java/Rust/Go/C++.
190k – 250k/yr
On-site5+ YOEData Engineering
About the role
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
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.
A builder’s mindset: pragmatic, rigorous, and grounded in long-term systems thinking.
Bonus
Familiarity with Iceberg, Delta Lake, or Hudi.
Research or open-source contributions in compression, indexing, or distributed computation.
Interest in how data representation affects training dynamics and model reasoning efficiency.
Compensation & 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.
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