3D printing platform for production-scale additive manufacturing
Carbon operates an integrated hardware-software platform for additive manufacturing, combining 3D printers, proprietary resins, and digital workflows. The stack (Python, C++, MATLAB, PostgreSQL, React) reflects a physics-heavy, simulation-first engineering culture. Current hiring velocity skews toward manufacturing and ops roles alongside engineering, while projects cluster around yield improvement, scrap reduction, and lab digital transformation—indicating a shift from early adoption toward production stability and customer enablement in traditional manufacturing environments.
Notable leadership hires: Sales Director
Carbon builds an idea-to-production platform that pairs custom 3D printers with materials science and software to enable rapid prototyping and scalable manufacturing. The company targets industrial, automotive, and medical-device teams looking to compress design cycles and move additive manufacturing from prototyping into high-volume production. Headquartered in Redwood City and founded in 2013, Carbon operates across 201–500 employees with engineering, manufacturing, and operations teams spanning the US and Germany. Current focus includes supporting conventional manufacturers and dental labs through digital-workflow transitions and addressing yield, scrap, and forecasting challenges inherent to scaling new production technologies.
Python, MATLAB, and C++ drive core simulation and materials modeling; PostgreSQL handles data; React and Three.js power the frontend; GCP provides cloud infrastructure. The mix reflects a physics-forward, CAD-adjacent engineering culture.
Yes. 14 active roles across engineering (5), manufacturing (4), ops (2), sales (2), and product (1). Recent openings include a Sales Director. Hiring spans the US and Germany with accelerating velocity.
Yield improvement, scrap reduction, and forecasting accuracy in production environments; digital transformation of dental labs and conventional manufacturers; inventory optimization; and scaling front-end infrastructure to handle rising data demands.
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