In-house semiconductor fab equipment design and control software
Atomic Semi is building a semiconductor fabrication facility from the ground up, including the equipment toolchain itself. The tech stack reveals a hands-on, systems-level engineering operation: CAD tools (Altium, KiCad, Solidworks, Onshape), firmware and control languages (Rust, C++, RTOS, Go), real-time infrastructure (PostgreSQL, Consul, Vault, Grafana), and WebAssembly for browser-based interfaces. Hiring is heavily skewed toward mid-level engineers (25 of 46 engineering roles), with a cluster of interns (18 total), suggesting a scaled, project-driven onboarding model typical of hardware startups tackling process complexity at speed.
Atomic Semi designs and manufactures semiconductor fabrication equipment and process control systems. Founded in 2023 and based in San Francisco, the company operates a small, hands-on engineering team focused on building both the fab hardware and its supporting software stack in-house rather than outsourcing. The product surface spans lithography systems, plasma etching, motion control, metrology, and real-time operator interfaces—all running on custom Linux and Rust applications. Current challenges center on rapid prototyping of precision systems, scaling equipment into production, meeting sub-micron performance targets, and establishing IT security and infrastructure foundations to support multi-location expansion.
A semiconductor fabrication facility with custom-designed fab equipment, including lithography and plasma etching systems, plus real-time control firmware and operator interface software. They are building the tools in-house rather than licensing from established vendors.
Rust, C++, Python, Go, and TypeScript. Rust appears prominently in real-time equipment control and Linux-based automation applications, while Python and TypeScript support diagnostics and web interfaces.
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Atomic Semi'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.