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.