Embedded / Electrical Engineer

Embedded / Electrical Engineer Human Archive San Francisco, CA Job Details Full-time 1 hour ago Qualifications Laboratory instruments Sensors Full Job Description About Human Archive Human Archive is a research lab focused on modeling human embodied intelligence. Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence — including the human hand, proprioception, and vision — remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself. Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability. The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity. We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us. The Opportunity As an Embedded / Electrical Engineer at Human Archive, you will build the electrical and embedded systems powering the hardware products used to model human embodied intelligence — including power architecture, sensor integration, synchronization infrastructure, and embedded compute systems for our wearable sensing platforms. This is a hands-on, execution-focused role centered around embedded hardware integration, power systems, signal integrity, and multimodal sensing infrastructure. You'll work across distributed sensor systems, embedded compute platforms, synchronization pipelines, and deployment constraints while maintaining high standards of reliability, power stability, and system robustness across real-world environments. Your work will help shape the hardware products frontier labs and leading robotics companies use to collect data and train their models, transforming physical labor markets and economies while contributing to broader research into human embodied intelligence. What You'll Do Design and validate battery-powered embedded systems and multi-rail power architectures Bring up and integrate embedded compute platforms, storage systems, and high-speed sensor interfaces Integrate distributed sensors across multimodal sensing hardware and wearable systems Design robust bus topologies, synchronization systems, and timestamp alignment infrastructure Debug signal integrity, EMI, grounding, power stability, and synchronization issues Define connector standards, pinouts, and hardware integration documentation Lead full-system validation across durability, transient response, power reliability, and deployment readiness Prototype quickly and iterate from real-world deployment feedback What We're Looking Fo 3-7 years of experience in embedded systems, electrical engineering, or hardware integration Experience bringing up SoM, SBC, or embedded compute platforms under real-world load Strong understanding of battery-powered systems, multi-rail power architectures, and protection systems Hands-on experience integrating sensors over SPI, I2C, UART, USB, or similar interfaces Experience debugging signal integrity, EMI, power instability, or synchronization issues Strong proficiency with oscilloscopes, logic analyzers, and embedded lab instrumentation Experience with synchronized multi-sensor systems, robotics, drones, motion capture, or wearable hardware is a strong plus Familiarity with deterministic timestamping, multimodal alignment, or regulatory hardware compliance is a plus