Head of Engineering
About the role
Head of engineering responsible for the hardware platform from architecture to shipping, leading distributed teams in SF and India across power, sensor synchronization, firmware/embedded Linux, and mechanical structure.
Responsibilities
- Define and maintain the complete hardware system architecture — mechanical, electrical, firmware, and multi-sensor integration — ensuring all subsystems integrate into a coherent, wearable product.
- Live in India, travel to SF regularly (roughly 1 week per month).
- Translate product requirements into precise engineering briefs. The engineering team abroad should know exactly what to execute on.
- Strong communication skills and the ability to shape future engineering hires. You will have significant input into who joins this team.
Qualifications
- Power systems: Designed a multi-rail battery-powered architecture; size a protection circuit; select a regulator topology; explain inrush and brownout on first power-on; read a schematic and diagnose problems.
- Sensor synchronization: Experience aligning data from multiple sensors with mismatched sample rates and variable bus latencies; implement firmware time-stamping strategy; practical data misalignment understanding.
- Firmware and embedded Linux: Brought up a SoM or SBC under real workload; can read and debug firmware with timing/interrupt issues; production firmware not required.
- Mechanical judgment: Review and critique mechanical designs with engineering justification; understand load paths, tolerance stack-up, strain relief; designed for lab vs wearables.
- Shipped at least one hardware product from prototype to real users (non-engineers used).
- Experience as staff/principal/founding engineer, not solely engineering manager.
- Experience working with distributed teams across time zones; maintain engineering quality remotely.
- 6-10+ years of hardware engineering in wearable hardware, robotics, motion capture, or field-deployed devices.
Skills
Benefits
- (Not explicitly listed in the provided text, so not included)

About Human Archive
Multimodal data provider for robotics and world modeling
We’re archiving the physical world for embodied intelligence by collecting and labeling aligned multimodal data. To build dexterous and perceptive robots that generalize robustly, we need massive amounts of real-world data across multiple modalities and environments. We have thought deeply about the fine line between biomimicry and its application to humanoid systems. Based on this research, we design and deploy custom hardware across residential and manufacturing settings. We then post-process the resulting data through internal QA, anonymization, and annotation pipelines to deliver diverse, high-fidelity datasets at scale to frontier labs developing robotics foundation models and general-purpose robotics companies. We believe we are at a historic inflection point, with a unique opportunity to leave a dent on humanity and reshape physical labor markets forever. That's why our team dropped out of Stanford and Berkeley and moved to Asia to collect the world’s largest annotated multimodal dataset.
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