
Atomic Machines is ushering in a new era of micromanufacturing with its Matter Compiler™ technology. This full-stack technology 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. It promises to unlock MEMS manufacturing for the many device classes frustrated by semiconductor methods and to open up entirely new product classes. The Matter Compiler™ technology fully realizes the digital manufacturing dream: 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™ technology—that we will be unveiling to the world soon.
Our offices are in Emeryville and Santa Clara, California.
We are looking for a well-rounded, experienced Senior Electrical Engineer who enjoys working in an agile environment. We expect our engineers to be self-motivated, willing, and capable of making decisions based on incomplete information, and to have a get-it-done attitude.
The main line of work will be to build and integrate machine control systems for our custom manufacturing nodes. Our system is built around a multiprocessor architecture, with distinct processors handling networking, general machine control, and specialty controls such as vision and motion. Interconnect selection, prototype cabling, and bring-up firmware are also important aspects of the job.
We emphasize modularity for reuse to speed up subsequent builds of nodes with similar needs.
The compensation for this position also includes equity and benefits.
Salary Range
$190,000—$230,000 USD

Atomic Machines is on Earth to radically advance humanity's command of matter. Our MC-1 manufacturing technology embodies this mission at the micro-scale, both blowing open the design space ("MEMS 2.0") and doing so in a way that enables extremely rapid iteration and scaling to high-volume manufacturing ("thought to thing time"). Our first device product establishes a new price-performance class highly relevant to the AI data center space.