Teams at Noïa Labs

Build and operate the data and ML platform for non-invasive neural interfaces: ingest, version, process, and serve large-scale neural data; create dataset pipelines, distributed training, experiment tracking, model deployment, and tooling; manage cloud and GPU compute; improve data quality, metadata, monitoring, and reproducibility; collaborate with ML engineers, neuroscientists, software engineers, and product teams.

Develop and validate embedded firmware for a wearable neural interface: sensor acquisition, timing, buffering, communication, hardware bring-up, and optimization for latency, power, reliability, and signal quality. Build tests and tools, stream neural data to the platform, and coordinate with electrical engineering, ML, suppliers, and manufacturing to move prototypes to production.

Build the software stack for a non‑invasive neural interface: backend services, real‑time data pipelines, device integrations, model integration, internal tooling, and reliability/observability improvements while collaborating with ML and neuroscience teams.