Photonics maker of sensors, detectors, optics and specialty light sources
Excelitas designs and manufactures photonic components for MedTech, life sciences, industrial, semiconductor and avionics markets. Its stack mixes optical and multiphysics simulation (Zemax, COMSOL, ANSYS) with PLC automation (Siemens S7, TIA Portal) and quality tooling (SPC, FMEA, 8D), while adoption of SAP Central Finance alongside SAP S/4HANA points to a finance consolidation effort. Accelerating hiring is split evenly between engineering and manufacturing, centered on yield and process transfer work.
Notable leadership hires: Process Director, Project Lead, Measurement Lab Lead, Finance Director
Excelitas Technologies is a privately held manufacturer headquartered in Pittsburgh, Pennsylvania, with 5,001–10,000 employees. It builds sensing, detection, imaging, optics and specialty illumination technologies, including LED solutions, xenon light sources, flash lamps, avalanche photodiodes, photon counting modules, thermal infrared detectors, pulsed laser diodes and high-voltage power systems. Customers are OEMs in medical technology, life sciences, industrial, semiconductor and avionics markets. Operations and hiring span the United States, Canada, Germany, the United Kingdom, Singapore and Indonesia.
Excelitas uses C++, Python, C#, Qt, MATLAB and LabVIEW for software and test, SolidWorks, Zemax, COMSOL and ANSYS for design, Siemens S7 PLCs for automation, and SAP S/4HANA and Hyperion for finance.
Yes. Hiring is accelerating and led by engineering and manufacturing roles, mostly mid and senior level, with openings in the US, Canada, Germany, the UK, Singapore and Indonesia.
Yes. Excelitas is adopting SAP and SAP Central Finance, complementing its existing SAP S/4HANA and Hyperion footprint, alongside finance hiring that includes a Finance Director role.
Other companies in the same industry, closest in size
Excelitas Technologies Corp.'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.