Key Responsibilities:

• Develop embedded software for system control, safety, and performance optimization.

• Integrate sensors, data acquisition, and real-time feedback loops.

• Implement predictive algorithms and fault detection using machine learning methods.

• Optimize system response to dynamic loads, power variation, and user-defined targets.

• Work closely with hardware teams to ensure seamless integration between control logic and mechanical/electrical systems.

 

Preferred Qualifications:

• Proficiency in embedded programming (C/C++/Python) and real-time systems.

• Experience with control theory, signal processing, and AI/ML models for physical systems.

• Familiarity with platforms such as STM32, ROS, NVIDIA Jetson, or similar embedded architectures.

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