- Location
- München, Bayern
- Type
- Full-time
- Department
- Engineering
- Source
- Personio
Description
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.)
- Experience with robotic systems is a strong plus