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

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