Hardware Tech Lead

Hardware Tech Lead | Wearable Devices | Physical AI
$300,000 to $400,000 base + bonus
Own a device from spec to mass production
Most hardware engineers own one part of a device. This role owns all of it.
Robot learning runs on real-world data, and that data is only as good as the hardware capturing it. Cameras out of sync, poor calibration or a device nobody can wear for a full shift, and the data is worthless before it reaches a model.
We've partnered with a well-funded AI company that collects real-world data to train robotics and embodied AI. At the heart of that is a head-mounted, multi-sensor capture device used in the field at scale. They need a Hardware Tech Lead to own it.
You'll own:

System architecture and requirements across cameras, IMUs, pose tracking, power and thermals
Hardware-level time sync, so streams line up when they're captured, not fixed afterwards
ODM selection and the full EVT, DVT and PVT path to volume production
Schematics, PCB review, embedded firmware and board bring-up
Setting up the hardware lab, and spotting IP worth patenting
This is not a vendor-management role with a fancy title.
You'll be on the bench with a scope and a logic analyser, debugging boards yourself. You'll also be the person who holds the factory to spec.
We're looking for someone who:

Has 7+ years in hardware, with at least one device taken from concept to mass production
Has managed ODMs or contract manufacturers in Asia directly, including NRE, factory audits and yield
Knows camera systems well: image sensors, MIPI CSI-2, ISP pipelines, shutter and exposure sync
Writes embedded C/C++ on MCUs and SoCs, on an RTOS or embedded Linux
Understands wearable constraints: battery, power budget and heat on someone's head
Ideally speaks Mandarin, given the manufacturing partnerships
There's no large hardware org to hide behind. You'll design it, debug it and ship it.
Employment type:

Full-time
Hardware Engineering | Wearables | Embedded Systems | Camera Systems | NPI | ODM | Physical AI

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