Tacit is an early-stage deep tech startup in San Francisco developing wearable hardware that rethinks human-computer interaction, decoding multimodal biosignals from custom sensors for real-time on-device inference. It is backed by General Catalyst, Khosla Ventures and Greylock Partners, with a founding team drawn from Stanford, BrainGate, Oculus and Tesla.
This role helps architect, optimize and ship next-generation neurotech hardware with production-grade on-device intelligence. You will own critical parts of the embedded AI stack, from realtime sensor acquisition through preprocessing, NPU and DSP-accelerated inference, postprocessing, telemetry and product deployment.
It is a hands-on role for someone who wants to work close to the hardware while shaping the intelligence users experience in the product. You will help define how models run on-device, how sensor data moves through the system, and how the team meets tight latency, reliability and power budgets in real-world use.
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