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.