Micro-scale manufacturing hardware for AI data center components
Atomic Machines builds the MC-1, a novel manufacturing platform targeting micro-scale production for AI infrastructure. The stack—Python, C++, FPGA, FreeRTOS, Onshape, COMSOL, AWS—signals a company balancing real-time hardware control with cloud-connected software systems. Hiring is heavily skewed toward engineering and manufacturing (30 of 41 roles), with accelerating velocity and seniority concentrated at mid and senior levels, reflecting the operational complexity of scaling precision automation and prototyping fleet reliability.
Notable leadership hires: Head of IT
Atomic Machines, founded in 2019 and based in Emeryville, CA, develops manufacturing hardware that enables rapid iteration from design to high-volume production at the micro-scale. The MC-1 platform targets applications in AI data centers, positioning the company at the intersection of advanced robotics, MEMS manufacturing, and industrial automation. Active projects span novel hardware development, mechatronic subsystem design, digital twins, and the upcoming first device unveiling. The company is 51–200 people and actively scaling engineering and manufacturing capacity while managing the operational challenges of precision automation at scale.
Python, C++, FPGA, FreeRTOS for embedded systems; Onshape, SolidWorks, Fusion 360, COMSOL for design and simulation; AWS, VPC, Direct Connect for infrastructure; Git for version control.
The MC-1 is Atomic Machines' first device product, a micro-scale manufacturing platform designed for high-volume production at the sub-micron precision level, with applications in AI data center infrastructure.
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