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

• 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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