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 $176,000 - $242,000 per year.
What they're looking for
- Bachelor's or master's degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, or a related field required
- 6+ years in systems integration, diagnostics, or hardware and software interface engineering on vehicles
- L4 program or production ADAS experience
- A track record of diagnosing failures that spanned hardware and software, with specific examples where you established the root cause
- Ability to correlate hardware symptoms and video evidence with telemetry and bus data into a concrete timeline
- Sensor-level troubleshooting depth on cameras, lidar, radar, GNSS and IMU, including timing failure modes
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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