Robotics Lead

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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

We are looking for a Robotics Lead to provide technical leadership across the systems that turn perception, prediction, and planning into safe and reliable autonomous vehicle behavior.

You will help define the architecture and technical direction of our robotics stack, working across AI, perception, planning, controls, localization, and vehicle systems. This is a hands-on technical leadership role for someone who understands how complex autonomous systems come together and can drive difficult problems from architecture through real-world deployment.

• Define and drive the technical direction of the robotics and autonomy stack.

• Lead architecture and integration across perception, localization, prediction, planning, controls, and vehicle systems.

• Develop and improve algorithms for motion planning, trajectory generation, decision-making, and vehicle control.