Contract design and manufacturing of custom opto-electronic components
Avo Photonics is a contract engineer and manufacturer of custom opto-electronic components, operating cleanroom production near Philadelphia with a Toronto campus. Its stack pairs optical and mechanical design tools (Zemax, SolidWorks, MATLAB) with Python, OpenCV and FastAPI, which points to in-house software for automating optical alignment. MES adoption and accelerating, engineering-led hiring both target yield and scrap on the production floor.
Avo Photonics, founded in 2003 and headquartered in Fort Washington, PA, provides custom design, development and manufacturing of opto-electronic components as a pure contract service, so customers keep their intellectual property. It serves medical, industrial, aerospace, military, communications, environmental, autonomous vehicle, food and water safety, and oil and gas markets. The headquarters spans 166,000 square feet of cleanroom manufacturing space across two facilities, with ISO 9001:2015 and 13485:2016 certified production. Additional design, prototyping and production run at a campus in Toronto, Ontario. The company employs 501–1,000 people and belongs to Halma's photonics division.
Avo Photonics uses Zemax, SolidWorks and MATLAB for design, Python, OpenCV, FastAPI, MongoDB and GitLab for software, SAP Business One and Workday for business systems, and Cisco, Juniper and Fortinet networking. It is adopting MES.
Yes. Hiring is accelerating and led by engineering, with additional roles in HR, manufacturing, finance and sales, all based in the United States and weighted toward senior positions.
Current work includes automating manual optical alignment, building APIs for alignment equipment, developing high-yield processes, and designing assembly fixtures and test stations.
Other companies in the same industry, closest in size
Avo Photonics'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.