Field Engineer, Surgical Data Collection

**About Preload** Preload builds the data layer for physical AI. Robots learn mostly from video, but human interaction is much richer: touch, force, and muscle activity. We build a wearable multimodal stack (egocentric video, tactile gloves, EMG) to capture how people actually interact with the physical world, and turn it into datasets robotics teams can train on. We're a YC (F26) team of PhD founders from Johns Hopkins and Caltech with backgrounds at Neuralink, Paradromics, and other neurotech companies. **The role** You'll run our surgical data collection: working with surgeons and clinical partners to capture expert surgical skill with our sensor stack. **What you'll do** - Plan and run data collection sessions with surgeons and clinical partners - Set up, calibrate, and troubleshoot sensors in surgical and simulation environments - Ensure data quality, protocol compliance, and proper documentation - Coordinate with partner sites on scheduling, approvals, and logistics - Feed field insights back to hardware and software teams **What we're looking for** - 1+ years in a clinical, surgical, medical device, or clinical research setting - Comfortable in ORs or surgical training environments - Hands-on with technical equipment and troubleshooting on the fly - Familiarity with IRB processes and research protocols is a plus - Background in BME, clinical engineering, or as a surgical tech or clinical specialist is a plus **Why join** Early, in-person team in San Francisco, with travel to partner sites.

You'll build our surgical data program from the ground up.