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Control System Engineer (m/f/d)

Franka Robotics · Münchenmid

In short

  • ▸Diseñar y implementar algoritmos de control para robots industriales en tiempo real.
  • ▸Trabajar en el desarrollo de firmware embarcado, pruebas de hardware y análisis de datos de sistema.
  • ▸Destacado: trabajar con tecnologías avanzadas y prototipos reales en un entorno de robótica de vanguardia.

Experiencia con sistemas robóticos es un plus

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What they ask for

  • ✓3+ años como ingeniero de sistemas de control o matemático
  • ✓3+ años en desarrollo de software embarcado para sistemas escalables y de alto rendimiento
  • ✓Conocimiento sólido en teoría de control, algoritmos avanzados y DSP
  • ✓Dominio de C++, Python y Matlab
  • ✓Capacidad para interpretar esquemas eléctricos y razonar sobre sensores y componentes
  • ✓Experiencia con protocolos de comunicación (CAN, Ethernet, EtherCAT, TCP/IP)

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

C++PythonMatlab/SimulinkgitGitLabConfluenceJIRACANEthernetEtherCAT

Who should you write to at Franka Robotics?

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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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