IMMS is a nonprofit applied-research institute in Ilmenau building sensor, actuator, control and signal-processing systems for industry partners. Its stack spans hardware description languages (Verilog, VHDL, SystemVerilog, Verilog-AMS), FPGA work, and dSPACE/MATLAB/Simulink control tooling, alongside Python and Rust. Hiring is almost entirely intern-level across engineering and research, showing a student-driven model focused on digital design automation and netlist tooling.
IMMS Institut für Mikroelektronik- und Mechatronik-Systeme is a nonprofit research company founded in 1995 and headquartered in Ilmenau, Thuringia, Germany. It performs application-oriented R&D in microelectronics, systems engineering and mechatronics, with a particular focus on supporting small and mid-sized companies. Work covers sensor and actuator systems, open- and closed-loop controls, signal processing, communications and system integration, from feasibility studies through series production. The institute is associated with Technische Universität Ilmenau, employs 51–200 people, and trains students each year for careers in industry and applied research.
IMMS uses Verilog, VHDL, SystemVerilog and Verilog-AMS for chip and FPGA design, dSPACE, MATLAB, Simulink and LabVIEW for controls and test, plus Python, C++, Rust, Qt/PySide6 and ANSYS.
Yes. Current openings are overwhelmingly intern-level roles in engineering and research, all based in Germany, covering digital circuit design, netlist tooling, measurement and hardware characterization.
Projects include NortL integration, a Python netlist carpentry plugin, clock-gate insertion heuristics, nanopositioning system characterization, a hardware logging framework and optical detection of washing media contamination.
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IMMS Institut für Mikroelektronik- und Mechatronik-Systeme gemeinnützige GmbH (IMMS GmbH)'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 →
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