Senior Software Engineer

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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.

What you’ll do

As a Senior Software Engineer, you will be a technical leader responsible for connecting our core food infrastructure platform with the myriad of external systems used by our restaurant partners — and for raising the technical bar of the team.

• Architect and Implement APIs: Lead the design, deployment, and maintenance of robust, scalable, and secure API integrations, focusing on the reliable exchange of critical data (orders, menus, status updates) between our platform and systems like Point-of-Sale (POS) and ERPs.

• Backend Development: Work primarily on the backend using modern development practices and one or more of our core languages: Java, Go, Kotlin, C++, C#, Scala or Rust.

• Data Integrity and Performance: Own data flow across complex systems, defining best practices for querying, synchronizing, and modeling critical restaurant data at scale.