Top Tech Jobs & Startup Jobs

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.

Design, train, evaluate, optimize, and deploy machine learning models and scalable pipelines for real-time neural time-series data. Build evaluation tooling, benchmarking, and production-grade ML systems in collaboration with BCI researchers and product engineers.

Develop new ML methods for neural and multimodal time-series data, design and run rigorous experiments and benchmarks, build prototypes for user studies, and collaborate with BCI scientists and engineers to deploy neuroscience-informed training and inference workflows.

Design, prototype, and validate electronics for a compact wearable neural interface. Own analog front-end and biopotential signal chain, develop PCB schematics and bring-up, integrate sensors and power systems, build test setups, and coordinate with mechanical, neuroscience, and manufacturing teams to move prototypes into production.

Design and iterate mechanical components for a wearable neural interface, produce CAD models and documentation, prototype and test, integrate sensors and electronics, evaluate materials and manufacturability, and work with suppliers to move prototypes to production.

Lead neural decoding research for a non-invasive BCI: design experiments, analyze neural and behavioral time-series, build and validate ML decoding models, enable cross-user generalization, and collaborate with data, ML engineering, and product teams to productionize low-latency workflows.