Design and develop the mechanical architecture of a wearable neural interface, integrating sensors and electronics while balancing comfort, reliability, manufacturability, and high-quality neural signal acquisition.
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8 open roles at Noialabs
Design and develop electronics for a wearable neural interface, owning the analog front end and biopotential signal chain from architecture and PCB development through prototyping, validation, and manufacturing.
Develop and validate embedded software for a wearable neural interface, owning real-time sensor acquisition, firmware, hardware bring-up, and device communication while optimizing latency, power, reliability, and signal quality.
Build and own the data and ML infrastructure for a non-invasive neural interface, spanning neural data pipelines, reproducible training workflows, GPU compute, experiment tooling, and model deployment.
Lead neural decoding research for a non-invasive brain-computer interface by developing time-series ML models, designing experiments, and validating robust, generalizable decoding across users, sessions, tasks, and sensors.
Develop machine-learning methods for neural and multimodal time-series data, rigorously evaluate their performance, and turn research into real-world prototypes for non-invasive neural interfaces.
Build and own the software layer of a non-invasive neural interface, spanning full-stack applications, backend APIs, real-time data pipelines, device integrations, and AI model infrastructure.
Build and deploy machine learning models and systems for neural time-series data, spanning scalable pipelines, evaluation tooling, model optimization, and real-time inference in collaboration with researchers and product engineers.
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