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 $170,000 - $215,000 per year.
What they're looking for
- 5+ years hands-on vehicle test engineering, ADAS or AV testing, proving ground operations, or OEM and Tier 1 vehicle test. Time actually running tests, not planning them for other people
- Experience executing published test procedures, Euro NCAP or NHTSA crash-avoidance procedures or equivalent, and the judgment to see where a procedure written for a human-driven vehicle needs adaptation
- Rigour about validity. You reject runs that fall outside tolerance and record why, without being asked and without being talked out of it. This is the trait that most predicts success here
- Safety-of-test judgment. You have stopped a test, or refused to start one, and can explain the call. Staging hazards deliberately is the job, doing it without hurting anyone is the skill
- Data ability in Python or similar, comfortable reducing acquisition data and producing a defensible result rather than handing over raw logs
- Clear written communication. Your reports become cited evidence in arguments other people sign, and a report that cannot be followed by someone who was not present is not usable
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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