Distributed Systems
Research and execution platforms built to stay correct under partial failure, not just under normal operation.
Low-Latency Infrastructure
Network, hardware and software co-designed so the path from signal to order stays measured, not assumed.
Compute
Research compute sized for iteration speed — the constraint that most determines how fast ideas get tested.
Data Engineering
Pipelines that treat data lineage, point-in-time correctness and reproducibility as non-negotiable.
ML Infrastructure
Training and evaluation infrastructure built around rigorous backtesting discipline, not just throughput.
Research Tooling
Internal tools that let a researcher move from hypothesis to evidence in hours, not weeks.
Execution Systems
Order and execution management engineered for determinism, auditability and graceful degradation.
Observability & Reliability
Systems instrumented so that anomalies are caught by monitoring, not by a research desk noticing P&L drift.