Atomic Machines is building the Matter Compiler™, the first in a new class of AI-native, all-digital manufacturing systems that build working machines directly from code. The Matter Compiler (MC) is aimed at micro-machines: motors and gears the size of a grain of sand, robots small enough to work inside the body, cooling built directly into the chips that run AI, and the many devices like them that have been waiting on a way to build them. Its first product is PrimeSwitch™, an electromechanical power relay the size of a button battery that carries 150 amps continuous current and opens in 50 microseconds, about a thousand times faster than a conventional contactor. Founded by Jeff Holden — serial entrepreneur, ex-Amazon SVP and Uber’s first Chief Product Officer — the company has raised $250 million to date.
Atomic Machines is based in the San Francisco Bay Area, with offices in Emeryville and Santa Clara.
The Matter Compiler runs on a fleet of nodes that control real-world equipment. Every build, release, and deployment that reaches that fleet goes through infrastructure this role owns: the build system for a multi-package monorepo that ships to several architectures, the CI/CD pipeline from push to green, the artifact store and shared cache, and the path that deploys software to about 80 nodes today and thousands of devices across several metros by 2027.
Hardware experience is not required. What this role needs is the ability to decompose ambiguous system failures, reason across abstraction layers, and own problems that cross team and org boundaries.
The compensation for this position also includes equity and benefits.
Salary Range
$180,000 - $230,000 USD
Atomic Machines is an equal opportunity employer that values diversity and does not discriminate based on characteristics protected by applicable law. We are committed to an inclusive interview experience, including for individuals with disabilities. To request an accommodation, contact [email protected]. To help our recruiting team manage application volume and respond to candidates more efficiently, Atomic Machines may use AI-assisted tools.
Copyright © 2026 Grabjobs Pte.Ltd. All Rights Reserved.