Precision engineering and optical metrology for aerospace, semiconductors, and life sciences
Quartus Engineering designs and manufactures high-precision optical, mechanical, and embedded systems for aerospace, semiconductor metrology, and industrial applications. The stack reveals a dual-track operation: classical CAD/FEA workflows (SolidWorks, NASTRAN, Abaqus, ANSYS) for structural and aerodynamic analysis, paired with modern embedded systems (Xilinx Zynq, VHDL, Verilog, EtherCAT) and Python/C# for real-time control and inspection automation. Active hiring is heavily engineering-focused with a seniority mix spanning interns through leads, and reported pain around experienced engineer scarcity suggests they're scaling production delivery against deep expertise constraints.
Founded in 1997, Quartus Engineering operates as a 51–200 person private firm headquartered in San Diego, CA. The company provides custom engineered solutions and products across aerospace, optical metrology, semiconductors, consumer products, and life sciences. Core competencies span FEA and structural analysis (NASTRAN, Abaqus, ANSYS, Hypermesh), precision optical system design (Zemax), robotics integration (Universal Robots, CoppeliaSim), and embedded control systems (Xilinx Zynq, EtherCAT, MODBUS). Current project work includes aeroelastic analysis, optical payload imaging, laser annealing, defect detection systems, and first-article inspection. The organization faces capacity constraints around hiring experienced engineers while managing supplier quality and nonconformance workflows.
Quartus' primary tools are SolidWorks, MATLAB, ANSYS, Abaqus, MSC NASTRAN, FEMAP, Hypermesh for analysis, and Zemax for optical design. Embedded work uses Xilinx Zynq, VHDL, Verilog, and EtherCAT.
Current projects include aeroelastic flutter analysis, optical payload imaging, laser annealing, defect detection, precision positioning systems, and first-article inspection for aerospace and semiconductor clients.
Quartus Engineering'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.