Technical Lead - Autonomy Evaluation

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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.

About the role

We are seeking a Technical Lead for Autonomy Evaluation to own the metrics our autonomy releases are judged on and the log replay and evaluation platform that computes them. In this role, you will take evaluation from recorded logs, to scored regression suites running on every candidate release, to the report a release passes before it reaches a vehicle, developing how replay, scoring, metrics, and test coverage come together into one platform engineers use every day. You will do this across on-road vehicles, and you will build the evaluation infrastructure that lets each new software release, sensor configuration, and platform be assessed seamlessly.

What you’ll do

• Metrics. Own the safety and behavior metrics a release is judged on, including collision and near-miss measures, trajectory agreement against ground truth, and comfort, and the go/no-go release criteria built on them.