P
Preload Verified
Pitch Your Own Role
San Francisco, CAOnsiteFull Time$150,000–$225,000 /yrPosted 1 day agoHidden Gem · YC Startup
Required skills
- robotics
- physical AI
- wearable sensing
- biosignals
- neuroengineering
- multimodal modeling
- ML research
- data infrastructure
- surgery
- clinical research
Nice to have
- hardware
- mechanical design
- manufacturing
Role summary
Preload is seeking exceptional individuals to join their early-stage YC team focused on building the data layer for physical AI. They capture rich human interaction data (video, touch, force, muscle activity) using wearable multimodal stacks to train robotics. They are open to candidates pitching their own roles across areas like robotics, biosignals, hardware, ML research, clinical research, and go-to-market. The ideal candidate has a track record of building things quickly, is comfortable with ambiguity, and is genuinely excited about robotics and physical AI. This is an opportunity to shape the product, stack, and culture from day one in San Francisco.
**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.
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.
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