Electrochromic glass manufacturing with roll-to-roll production technology
Ambilight manufactures intelligent glass using electrochromic technology, with a production stack centered on materials science (MATLAB, COMSOL, Zemax, GC-MS, LC-MS, HPLC) and CAD/simulation tooling (CATIA, SolidWorks, Pro/ENGINEER). The company is actively scaling: 17 of 22 open roles posted in the last 30 days, with hiring concentrated in engineering and research. Active projects span material synthesis, production-line industrialization, and yield optimization—the project-to-pain-point ratio reveals a company managing the transition from lab-validated technology to repeatable, high-volume manufacturing.
Notable leadership hires: User Research Lead, Content Lead
Ambilight develops electrochromic products—glass and plastic that regulate light and heat through electronic control—using proprietary roll-to-roll manufacturing. Founded in 2017, the company operates from Silicon Valley and West Lafayette, with production capacity in China. The addressable market spans automotive, architecture, and consumer electronics. Core operations center on materials development, manufacturing process control, and supply-chain scaling. The active project list (new product introduction, production-line industrialization, yield improvement, device performance standards) reflects a manufacturing-forward business model.
Materials science and simulation: MATLAB, COMSOL, Zemax, GC-MS, LC-MS, HPLC. Design and CAD: CATIA, SolidWorks, Pro/ENGINEER, AutoCAD, Figance. Analytics and business: SAP, Shopify, Tableau, Power BI, Google Analytics, Looker Studio.
Production scaling: manufacturing design rule optimization, new product introduction to mass production, industrialization of pilot lines. Materials: organic polymer synthesis and performance improvement. Operations: yield improvement, defect analysis, process stability, and new product certification.
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Ambilight'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.