**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.
Visa sponsorship is offered for this role.
