Control System Engineer (m/f/d)

Franka Robotics · Münchensenior

In short

▸Diseñar y implementar controladores avanzados para robots en tiempo real
▸Trabajar con algoritmos, firmware embebido y pruebas de hardware en C++, Python y Matlab
▸Destacar por integrar sistemas complejos desde sensores hasta plataformas de análisis

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What they ask for

✓3+ años como ingeniero de sistemas de control o matemático
✓3+ años en desarrollo de software embebido de alto rendimiento
✓Fundamentos sólidos en teoría de control, algoritmos avanzados y DSP
✓Excelente dominio de C++, Python y Matlab
✓Conocimiento práctico de motores eléctricos y control de motores
✓Experiencia con protocolos de comunicación (CAN, Ethernet, EtherCAT, TCP/IP)

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C++PythonMatlabSimulinkCANEthernetEtherCATTCP/IPgitGitLab

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Your role You’ll shape how our robots move, sense, and respond, turning control theory into real-world performance You’ll push existing products further and bring new prototypes to life with both state-of-the-art and experimental methods. In practice, that means: Exploring advanced algorithms, controllers, calibration, digital signal processing and finding what actually works on hardware Implementing those algorithms in C++ and Python (and Matlab/Simulink when it fits) Designing and running test benches that reveal true system performance Building software for data acquisition and processing Identifying dynamic system properties Connecting the stack end to end: embedded firmware, middleware, backends, and analysis platforms Hunting down and fixing interoperability issues across systems and devices Your experience and qualifications 3+ years as a control system engineer or mathematician 3+ years in embedded software development, building scalable, high-performance systems Strong grounding in control theory, advanced control algorithms, and DSP Solid proficiency in C++, Python, and Matlab Enough electrical and mechanical fluency to read schematics and reason about sensors and components Working knowledge of electric motors and motor control Familiarity with communication protocols (CAN, Ethernet, EtherCAT, TCP/IP) Comfort with professional tooling (git, GitLab, Confluence, JIRA, etc.)

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