Backed by Initial Capital.
About the role
We are looking for a Back-End Engineer to build the services, APIs, data systems, and platform capabilities behind our Fleet Management product. You will work on systems that connect complex operational data to the software used to manage autonomous fleets in the field. We want a backend-focused engineer with strong generalist instincts, someone who can own a problem end to end, make sound architectural decisions, and partner closely with product-facing engineers and users. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Strong software engineering fundamentals and experience building production backend systems
- Experience designing APIs, services, data models, and distributed or data-intensive systems
- Strong understanding of system design, reliability, performance, and engineering tradeoffs
- Experience working with databases and designing systems around complex or high-volume data
- Generalist engineering instincts and a willingness to work outside a narrowly defined backend boundary when the problem requires it
- Ability to operate effectively in an ambiguous, fast-moving environment with a high degree of ownership
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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