Atomic Machines is ushering in a new era in micromanufacturing with its Matter Compiler (MC) technology. The MC enables new classes of micromachines to be designed and built by offering manufacturing processes and a materials library that is inaccessible to semiconductor manufacturing methods. The MC promises to unlock MEMS manufacturing both for the many device classes that never could be made by semiconductor methods but also to open up entirely new classes. Furthermore, the MC is fully digital in the way 3D printing is digital, but where 3D printing produces parts of a single material using a single process, the MC is a multi-process, multi-material technology: bits and raw materials go in and complete, functional micromachines come out. The Atomic Machines team has also created an exciting first device – one that was only made possible by the existence of the Matter Compiler – that we will be unveiling to the world soon.
Our offices are in Berkeley and Santa Clara, California.

ABOUT THE ROLE:

As a Software Engineer, Embedded Systems, you will design and build the distributed software system that controls the Matter Compiler. You’ll have the chance to work across layers of the stack from low-level device interfaces to user-facing tools. One sprint, you might be tuning motors or working on FPGA interfaces; the next, implementing a HIL test or modeling an analog to digital converter.
You’ll be joining a fast-paced, interdisciplinary environment with close collaboration across teams — including modeling and simulation, materials science, process development, and mechanical engineering — as we bring truly novel technology to life.
This role is based in Santa Clara and is well-suited to an engineer with strong fundamentals, curiosity, and the fire to grow into systems-level thinking.

WHAT YOU’LL DO:

• Write, operate, and debug software and firmware for complex robotics with hard real-time constraints. The code you write is what drives all manufacturing operations at Atomic Machines – and must be reliable, fault tolerant, and well instrumented.
• Work at multiple levels of the software stack. You’ll design and implement a networked API and debug it down to the hardware.