Human Archive

About Human Archive Human Archive is a robotics data lab founded by Stanford and UC Berkeley dropouts. We work alongside frontier robotics labs and foundation model research groups to collect large-scale, real-world, annotated multimodal datasets of humans performing everyday tasks across household and industrial environments. We are lean, 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. This shift is inevitable, and we are building the infrastructure to accelerate it. We are assembling the best team to solve the hardest problems in embodied intelligence. 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 leave your dent on humanity and reshape physical labor markets forever, join us! About the Role The embedded/electrical engineer will design, validate, and harden the electrical and embedded hardware foundation of a battery-powered wearable platform — including power architecture, sensor integration, signal integrity, and full-system validation. You will work closely with the Head of Engineering, who defines system requirements and architecture. Responsibilities Design and validate a multi-rail battery-powered architecture, including power budgeting, DC/DC regulation, protection design, and load stability under peak compute and sensor load. Bring up and integrate an embedded compute platform (SoM or SBC), including high-speed sensor interfaces and storage subsystems. Integrate distributed sensors across physical segments, designing robust bus topologies and ensuring accurate time-stamping and data alignment. Validate signal integrity and grounding across harnessed interconnects; define connector standards and pinout documentation. Design system-level controls and indicators with reliable interrupt behavior. Lead full-system validation: EMI, transient response, power stability, environmental durability. Required Qualifications 3-7 years of experience in embedded systems or hardware integration. Demonstrated experience bringing up SoM or SBC platforms under real-world load. Strong understanding of battery-powered, multi-rail power systems and protection strategies. Hands-on experience integrating sensors over SPI, I2C, UART, USB, or similar interfaces. Experience debugging signal integrity, EMI, power instability, or synchronization issues. Proficient with oscilloscopes, logic analyzers, and standard lab instrumentation. Preferred Qualifications Experience integrating high-bandwidth camera systems or synchronized multi-sensor platforms. Background in robotics, drones, motion capture, or wearable hardware. Familiarity with deterministic time-stamping and multi-sensor alignment. Exposure to regulatory and compliance considerations for electronic systems. To Apply Resume (PDF) Portfolio or GitHub (if applicable)

About Human Archive Human Archive is a robotics data lab founded by Stanford and UC Berkeley dropouts. We work alongside frontier robotics labs and foundation model research groups to collect large-scale, real-world, annotated multimodal datasets of humans performing everyday tasks across household and industrial environments. We are lean, 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. This shift is inevitable, and we are building the infrastructure to accelerate it. We are assembling the best team to solve the hardest problems in embodied intelligence. 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 leave your dent on humanity and reshape physical labor markets forever, join us! About the Role The firmware engineer will own the real-time firmware layer of a battery-powered wearable platform — responsible for deterministic sensor acquisition, timestamp alignment, system state control, and reliable communication between the microcontroller and embedded Linux compute. You will operate under technical direction from the Head of Engineering. Responsibilities Design and maintain firmware for a dedicated MCU responsible for aggregating distributed sensors — implementing robust SPI and peripheral drivers and ensuring stable high-frequency acquisition. Architect and implement the system timebase and synchronization strategy across multiple sensor domains, including deterministic event handling and timestamp propagation. Develop hardware-level control logic for user inputs and system indicators with interrupt-driven reliability. Design boot, shutdown, and fault-recovery mechanisms: watchdog strategies, brownout handling, corruption prevention during unexpected power events. Implement a deterministic communication boundary between MCU and the embedded Linux compute layer, including packet structures, buffering strategies, and error handling. Required Qualifications 3-6 years of embedded firmware development experience. Strong proficiency in C or C++ for MCU environments. Experience with STM32 or equivalent modern MCU platforms. Deep understanding of SPI, I2C, UART, and interrupt-driven design. Experience building timing-sensitive firmware and deterministic data pipelines. Hands-on debugging with oscilloscopes, logic analyzers, and similar lab tools. Preferred Qualifications Experience developing firmware for multi-sensor systems requiring precise synchronization. Familiarity with real-time constraints in robotics, drones, or motion capture. Experience with battery-powered hardware and safe state transitions. Background in field-deployable embedded systems. To Apply Resume (PDF) Portfolio or GitHub (if applicable)

About Human Archive Human Archive is a robotics data lab founded by Stanford and UC Berkeley dropouts. We work alongside frontier robotics labs and foundation model research groups to collect large-scale, real-world, annotated multimodal datasets of humans performing everyday tasks across household and industrial environments. We are lean, 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. This shift is inevitable, and we are building the infrastructure to accelerate it. We are assembling the best team to solve the hardest problems in embodied intelligence. 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 leave your dent on humanity and reshape physical labor markets forever, join us! The Opportunity The head of engineering will own the entire technical execution of a body-worn sensing platform — from architecture through shipping — while leading a distributed team of specialists across San Francisco and India. The head of engineering will make real design and integration decisions every week across all four core domains: power systems, sensor synchronization, firmware and embedded Linux, and mechanical structure. What You Will Own 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 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. What You Must Have RELEVANT EXPERIENCES MUST BE BOLDED IN RESUME Power systems: You have personally designed a multi-rail battery-powered architecture — not reviewed someone else's. You can size a protection circuit, choose a regulator topology for a given load profile, and explain the inrush and brownout behavior you encountered on first power-on. You can read a schematic and find a problem. Sensor synchronization: You have solved the problem of aligning data from multiple sensors with mismatched sample rates and variable bus latencies. You know what a time-stamping strategy looks like at the firmware level, and you know what misalignment actually looks like in a captured dataset — not in theory, in your own data. Firmware and embedded Linux: You have personally brought up a SoM or SBC platform under real workload. You can read and follow firmware written by someone else well enough to identify a timing bug, interrupt priority issue, or buffer overrun using a logic analyzer or serial log. You do not need to write production firmware, but you must be able to debug it. Mechanical judgment: You will not own CAD in this role, but you must review, critique, and push back on mechanical designs with engineering justification. You understand load paths, tolerance stack-up, strain relief, and what "designed for the lab" looks like vs. designed for a person wearing it for eight hours. You have shipped at least one hardware product from first prototype to real users. "Shipped" means it was used by someone who was not an engineer You have operated as a staff, principal, or founding engineer — not solely as an engineering manager You have worked with distributed teams across time zones and can maintain engineering quality without being in the room every day 6-10+ years of hardware engineering experience with a track record in wearable hardware, robotics, motion capt

About Human Archive Human Archive is a robotics data lab founded by Stanford and UC Berkeley dropouts. We work alongside frontier robotics labs and foundation model research groups to collect large-scale, real-world, annotated multimodal datasets of humans performing everyday tasks across household and industrial environments. We are lean, 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. This shift is inevitable, and we are building the infrastructure to accelerate it. We are assembling the best team to solve the hardest problems in embodied intelligence. 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 leave your dent on humanity and reshape physical labor markets forever, join us! About the Role This revolves around understanding the user — the visual language, ergonomic feel, and user-facing identity of our wearable hardware platform. You will work directly with the Head of Engineering and founding team in San Francisco. Responsibilities Develop and iterate on the visual and ergonomic design language of the wearable system — form, finish, material palette, and user interaction. Create high-quality concept sketches, 3D renderings, and physical models to communicate design intent to engineering and leadership. Collaborate with the mechanical engineer (India) to ensure design intent is preserved through the engineering and fabrication process. Contribute to user research and wear testing, translating real feedback into design refinements. Maintain a living design system — material specs, finish standards, CMF documentation — that guides vendor conversations and future iterations. Design packaging, unboxing experience, and product presentation materials as needed. Required Qualifications Bachelor's degree in Industrial Design, Product Design, or equivalent — recent graduates (2023-2025) strongly encouraged. Strong portfolio demonstrating concept-to-prototype capability, ergonomic thinking, and high visual craft. Proficiency in CAD tools (Fusion 360, Rhino, or similar) and rendering software (KeyShot, Blender, or equivalent). Ability to communicate design intent clearly through sketches, renders, and physical models. Preferred Qualifications Academic or internship experience in consumer hardware, medical devices, or wearables. Exposure to manufacturing processes: injection molding, CNC, 3D printing, soft goods. Interest in technical systems and comfort working alongside engineers. Experience with CMF specification and vendor communication. To Apply Resume (PDF) Portfolio (required)

About Human Archive Human Archive is a robotics data lab founded by Stanford and UC Berkeley dropouts. We work alongside frontier robotics labs and foundation model research groups to collect large-scale, real-world, annotated multimodal datasets of humans performing everyday tasks across household and industrial environments. We are lean, 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. This shift is inevitable, and we are building the infrastructure to accelerate it. We are assembling the best team to solve the hardest problems in embodied intelligence. 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 leave your dent on humanity and reshape physical labor markets forever, join us! About the Role You will design and build the physical architecture of a load-bearing wearable system — enclosures, mounting structures, modular docking mechanisms, and cable routing — with direct technical direction from the Head of Engineering. This is a hands-on, execution-focused role. You will prototype fast, iterate based on real wear testing, and maintain high standards of mechanical quality and repeatability. Responsibilities Design adjustable, load-bearing wearable structures that accommodate a range of body sizes, optimizing for comfort and fatigue reduction during extended use Develop protective enclosures and mounting systems for embedded electronics, balancing structural integrity with weight constraints Design modular docking and retention mechanisms for removable hardware modules, including blind-mate alignment and tool-less serviceability Iterate rapidly using 3D printing and small-batch fabrication; own hands-on testing and mechanical debugging Collaborate with local fabrication and soft goods vendors to improve manufacturability Define cable routing and strain management systems that survive repeated flexion and allow removal for cleaning Required Qualifications 3-5 years of mechanical design or hardware prototyping experience Strong proficiency in Fusion 360 or SolidWorks Experience designing enclosures, structural mounts, or load-bearing assemblies Hands-on prototyping experience with real-world durability and motion constraints Preferred Qualifications Experience in wearable hardware, robotics, drones, or embedded systems packaging Familiarity with soft goods integration, battery enclosure design, and thermal considerations Experience designing for field or industrial deployment environments To Apply Resume (PDF) Portfolio or GitHub (if applicable)

About Human Archive Human Archive is a robotics data lab founded by Stanford and UC Berkeley dropouts. We work alongside frontier robotics labs and foundation model research groups to collect large-scale, quality, diverse, multimodal datasets of humans performing everyday tasks across household and industrial environments. We are lean, 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. This shift is inevitable, and we are building the infrastructure to accelerate it. We are assembling the best team to solve the hardest problems in embodied intelligence. You will own meaningful systems from day one and see your work directly impact VLA model capabilities. This is a once-in-a-generation inflection point. If you want to leave your dent on humanity and reshape physical labor markets forever, join us! About the Role This role is ideal for someone early in their career (1-5 years of experience, or an exceptional dropout) who wants real operational ownership, not a rotational apprenticeship. You’ll work closely with the co-founders and Head of Operations in a high-trust role at the center of execution at Human Archive. As a founding Operations Manager, you will own the end-to-end lifecycle of field operations, including sourcing and structuring partnerships to unlock access to real-world labor environments, deploying and supporting field teams, and ensuring clean data offload, audit, and closure. Your mandate is to turn site access into reliable, repeatable, high-velocity data collection, even in messy, real-world conditions. You will build and run core operating systems: coordinating site readiness, managing kits and logistics, leading large field teams during on-site execution, and enforcing post-site workflows that guarantee data quality and operational closure. This is a hands-on execution role: you’ll plan, but you’ll also be on the ground sometimes supporting field teams, unblocking issues, tightening processes, and making sure things actually get done. What You’ll Do Source, structure, and manage site partnerships to unlock access to real-world labor environments, and convert that access into executed field deployments Own the end-to-end execution of field operations, from site readiness and kit logistics to on-site execution and post-site closure Lead and support large field teams, ensuring consistent execution through SOPs, checklists, and real-time problem solving Plan and run high-velocity data collection campaigns, balancing speed, scale, data quality, and operational constraints Build, operate, and continuously improve core ops systems across sites, kits, data offloading, audits, and payouts Identify failure points in the field and translate them into durable process improvements, not one-off fixes What We’re Looking For Prior experience in operations, top startups, logistics, marketplaces, consulting, banking, or field work is a plus, but not required Recent graduates or dropouts, early-career candidates, or experienced operators based in India Ability to lead field teams, manage on-site execution, and ensure reliable data capture and upload workflows Strong communication skills with the ability to move fast, make decisions with limited information, and take full ownership Strategic thinker ready to take on unglamorous, conventionally impossible problems and work harder than they ever have before

About Human Archive Human Archive is a robotics data lab founded by Stanford and UC Berkeley dropouts. We work alongside frontier robotics labs and foundation model research groups to collect large-scale, real-world, annotated multimodal datasets of humans performing everyday tasks across household and industrial environments. We are lean, 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. This shift is inevitable, and we are building the infrastructure to accelerate it. We are assembling the best team to solve the hardest problems in embodied intelligence. 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 leave your dent on humanity and reshape physical labor markets forever, join us! About the Role The hardware test engineer will own quality and validation across the full hardware stack — electronics, firmware, and system integration. This role goes well beyond test execution: you will build the test infrastructure, author reliability plans, debug failure modes, and drive corrective action. You will receive direction from the Head of Engineering and work closely with the electrical and firmware engineers. Responsibilities Define test plans, matrices, and acceptance criteria aligned with product requirements; build and maintain verification checklists for electrical, firmware, and system-level functionality. Execute validation testing across hardware, firmware, and end-to-end system integration; develop repeatable bring-up and regression procedures for new builds. Build test fixtures, harnesses, and bench setups for repeatable measurements; design and improve manufacturing test procedures and go/no-go checks. Create test scripts in Python for logging, validation, and automated regression testing. Perform structured debugging using oscilloscopes, logic analyzers, multimeters, and serial logs; write precise bug reports with reproduction steps and recommended next actions. Own reliability testing: burn-in, stress, connector/cable durability, environmental exposure. Track defect trends, implement corrective/preventive actions, and maintain QA traceability. Required Qualifications 6-8 years of experience in QA, validation, test engineering, or reliability engineering in hardware/embedded contexts. Strong understanding of embedded systems testing across electronics, firmware, and integration. Hands-on lab experience with oscilloscopes, logic analyzers, multimeters, and serial debug tools. Experience designing and executing structured test plans and regression processes. Scripting ability in Python for automated validation, data parsing, and reporting. Preferred Qualifications Experience with high-speed interfaces (USB, SPI, I2C, UART, CSI) and signal integrity basics. Experience with power systems testing: battery-powered devices, DC/DC rails, brownout behavior. Experience building test fixtures, cable harness tests, and manufacturing test flows. Familiarity with reliability test methods: thermal cycling, vibration, ingress/sweat exposure. To Apply Resume (PDF) Portfolio or GitHub (if applicable)

About Human Archive Human Archive is a robotics data lab founded by Stanford and UC Berkeley dropouts. We work alongside frontier robotics labs and foundation model research groups to collect large-scale, real-world, annotated multimodal datasets of humans performing everyday tasks across household and industrial environments. We are lean, 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. This shift is inevitable, and we are building the infrastructure to accelerate it. We are assembling the best team to solve the hardest problems in embodied intelligence. You will own meaningful systems from day one and see your work directly impact VLA model capabilities. This is a once-in-a-generation inflection point. If you want to leave your dent on humanity and reshape physical labor markets forever, join us! About the Role We are hiring a Founding Marketing & Video Editor to own end-to-end content creation that drives viral growth loops and scales data collection operations across India. This is not a traditional marketing role. You will be embedded directly into field operations, filming real workers, environments, hardware, and workflows, then turning that raw footage into high-quality, professional, and highly engaging short-form and long-form content across platforms like Instagram, WhatsApp, LinkedIn, X (Twitter), and more. You will work closely with the CEO and COO and have full ownership over creative direction, execution, and iteration. What You’ll Do Edit and produce high-quality short- and long-form videos for Instagram, WhatsApp, LinkedIn, and X Create content that is visually professional, emotionally engaging, technically credible, and viral Build and iterate viral content loops that drive inbound interest from data collection partners Rapidly test, learn, and iterate based on performance and engagement metrics Shape and evolve Human Archive’s public narrative in India What We’re Looking For A strong online presence with a proven track record of building and growing an audience Experience creating content that builds trust with operators, business owners, or enterprise partners Strong video filming and editing skills (Premiere Pro, Final Cut, DaVinci, CapCut, etc.) Deep intuition for internet content in India and what actually goes viral Comfort filming in real-world, messy, non-studio environments Ability to move fast, experiment aggressively, and iterate without hand-holding Based in India and willing to travel often Interview Process We review applications on a rolling basis and move quickly. To apply, please submit your resume and portfolio to the hiring manager. The process includes Review of online presence and past content Portfolio and past work evaluation (long-form, short-form, and viral) Short interview focused on creative instincts, speed, and editing skills