Backed by Initial Capital.
About the role
This role is based in our San Francisco office. Atoms is a company driven by invention and continuous change - we are constantly reimagining our industries, building new products, and refining how we operate. We do our best work together. That’s why all of our office-based teams work onsite, five days a week. The base salary range for this role is $149,000 - $188,000 per year.
What they're looking for
- Demonstrated hazard analysis ownership (HARA, FMEA, FTA or equivalent) and demonstrated scenario-based validation ownership. The combination is the requirement, not either half
- Rigour about provenance. You instinctively distinguish a measurement from an estimate from a placeholder, and label them as such rather than letting a number acquire authority by being written down
- Standards fluency across ISO 26262, ISO 21448 (SOTIF), UL 4600, and SAE J3016, with the judgment to apply them proportionately to a scoped argument rather than reproducing a full-program process at small scale
- Exceptional written precision. More than any other role on this team the deliverable is a document that has to stand up without you in the room, vague writing here is not a style problem, it is a safety problem
- The disposition three interchangeable seats need: focused enough to go deep on what you own, flexible enough to pick up a colleague's, and generous enough to make peer review genuinely useful rather than ceremonial
More about this role
Atoms is building the machines that power the next era of progress.
Over the last decade, software has transformed the digital world. But the physical world, where food is made, minerals are mined, goods are moved, and industries are run, remains far less intelligent, far less efficient, and far more constrained. We’re changing that.
Atoms builds Physical AI— real-world robots for the industries that move civilization forward, starting with food, mining, and transport. Our systems are designed to understand, predict, and control the real world with precision, turning complex physical operations into something more reliable, more scalable, and more productive.
This work requires more than robotics. It requires deep integration across hardware, software, AI, operations, manufacturing, and real estate. We don’t just build machines in a lab. We deploy them into real environments, operate them, learn from them, and improve them until they work at scale.
We are roboticists, engineers, operators, and builders. We believe the next great technology companies will not only transform information, but the physical systems that shape everyday life.
If you want to work on hard problems with...
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