About this role
**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.
**Don't see your role? Pitch us.**
We're early, and some of our best hires won't fit neatly into a job description. If you're exceptional and believe you can help us build the data layer for physical AI, we want to hear from you, whatever your background.
**Areas where we'd love to hear from you**
- Robotics, manipulation, and robot learning
- Biosignals, neuroengineering, and wearable sensing
- Hardware, mechanical design, and manufacturing
- ML research, multimodal modeling, and data infrastructure
- Surgery, clinical research, and medical devices
- Operations, partnerships, and go-to-market
**How to apply**
In your application, tell us:
- What you'd own at Preload and why it matters now
- The most impressive thing you've built or done
- What you'd accomplish in your first 90 days
**What we're looking for**
- A track record of building real things, fast
- Comfort with ambiguity and owning problems end to end
- Genuine excitement about robotics and physical AI
**Why join**
Early, in-person team in San Francisco. You'll shape the product, the stack, and the culture from day one. Compensation depends on the role and experience.