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Atomic Machines Tech Stack

Micro-scale manufacturing platform for AI hardware and advanced devices

Robotics Engineering Emeryville, CA 51–200 employees Founded 2019 Privately Held
atomicmachines.com LinkedIn

Atomic Machines builds precision manufacturing systems at the micro-scale (MEMS 2.0), with an initial device product targeted at AI data centers. The tech stack reveals a hardware-software hybrid: Python and C++ for control systems, CAD tools (Onshape, SolidWorks, Fusion 360, Altair) for design, and a modern cloud backend (AWS, PostgreSQL, gRPC, React). The hiring velocity is accelerating across engineering and manufacturing—18 senior+ roles posted in 30 days—indicating they're scaling from prototype to multi-site production while building out the software infrastructure for networked, distributed robotics control.

Tech Stack 45 technologies

Core StackPython C++ SolidWorks Go gRPC PostgreSQL Jira SAP Oracle React TypeScript Vite Tailwind CSS Jest Okta AWS Slack Onshape Fusion 360 Altium Designer C/C++ Protocol Buffers VPN ReactFlow ESLint OpenAPI AWS Direct Connect AWS Transit Gateway VPC SD-WAN+15 more

What Atomic Machines Is Building

◆Challenges

  • Fault detection and automated recovery
  • Unlocking mems manufacturing for frustrated device classes
  • Transition from prototype to full-scale production
  • Scaling manufacturing infrastructure
  • Scaling advanced manufacturing systems
  • Scaling manufacturing technology
  • Streamlining onboarding and offboarding processes
  • Rapid growth team expansion
  • Friction reduction
  • Recurring challenge elimination

▲Active Projects

  • First device unveiling
  • Automated manufacturing systems
  • Networked api for distributed robotics
  • Matter compiler™ platform maintenance
  • Factory bring-up across multiple sites
  • Prototype machine shop operations
  • Npi transitions into high-volume production
  • Distributed software system for matter compiler
  • Matter compiler mechatronic subsystems development
  • Modular robotic manufacturing platform

Hiring Activity

Accelerating45 roles · 35 in 30d

Department

Engineering
22
Manufacturing
14
HR
4
Ops
3
Finance
2
Security
2

Seniority

Senior
18
Mid
12
Director
5
Staff
5
Lead
3
Junior
2
Manager
2
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About Atomic Machines

Atomic Machines designs and manufactures micro-scale robotics systems for precision manufacturing at sub-millimeter scales. Founded in 2019, the company has developed the MC-1, a manufacturing technology that expands the design space for micro-electromechanical systems (MEMS) while enabling rapid iteration and scaling to high-volume production. The primary addressable market is AI data center hardware, where their device establishes a new performance tier. Operations span design, prototype machining, and multi-site factory deployment. The company is headquartered in Emeryville, CA, and is actively scaling manufacturing infrastructure and production transitions.

HeadquartersEmeryville, CA
Company Size51–200 employees
Founded2019
Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Atomic Machines use?

Python, C++, Go for control and backend logic; Onshape, SolidWorks, Fusion 360, Altair for CAD; PostgreSQL, gRPC, Protocol Buffers for distributed systems; AWS infrastructure including Direct Connect and Transit Gateway; React/TypeScript for frontend; Jira, SAP, Oracle for enterprise systems.

What is Atomic Machines working on?

Product: first device unveiling and transition to high-volume production. Infrastructure: factory bring-up across multiple sites, automated manufacturing systems, scaling advanced manufacturing infrastructure. Software: networked API for distributed robotics, distributed control systems for the Matter Compiler platform, and mechatronic subsystems development.

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How this profile is built

Atomic Machines's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.