Atoms
Full-Stack Engineer - Fleet Management
- Location
- San Francisco, CA
- Last checked
- Oct 26, 2026
About this role
Who we are
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 real-world impact, join us.
About the team
The Fleet Management engineering team builds the software systems that help operators understand, manage, and scale autonomous fleets in real-world environments. The team works across product, data, backend services, and user-facing applications to turn complex operational problems into reliable, high-leverage software. We move quickly, stay close to users, and value engineers who are comfortable owning problems beyond a narrow technical boundary.
About the role
We are looking for a product-minded Full-Stack Engineer to build and own software used to manage autonomous fleets. You will work across the stack, from user facing workflows and interfaces to APIs, backend services, and data to take ambiguous operational problems from idea to production. This is a generalist role for an engineer who enjoys broad ownership, moves quickly, and is comfortable working wherever the problem requires.