Responsibilities:

Design and implement embedded control software for industrial power conversion systems with an emphasis on stability, performance, and real-time operation.
Develop firmware in C and C++ for microcontroller- and DSP-based platforms, integrating timing-critical functions and low-level hardware control.
Create and refine control algorithms for converters, inverters, rectifiers, and regulated DC systems based on application and system requirements.
Interface directly with hardware components such as ADCs, PWMs, timers, and interrupt-driven subsystems to support accurate sensing and control behavior.
Build and maintain embedded web-based user interfaces and device-hosted web services using modern browser technologies and lightweight network stacks.
Troubleshoot and validate system behavior using laboratory instrumentation such as oscilloscopes, logic analyzers, and power analyzers.
Support communication and interoperability across embedded platforms using industrial and device-level protocols where required.
Contribute to simulation, test automation, and hardware-in-the-loop validation activities to improve software reliability and development efficiency. Requirements
At least 5 years of experience in embedded controls, embedded software, or other real-time engineering environments.
Strong proficiency in C and C++ for resource-constrained, real-time embedded applications.
Demonstrated knowledge of digital control methods for industrial power converters and related power electronics systems.
Hands-on experience with microcontrollers or digital signal processors, including direct work with peripherals used for sensing and actuation.
Solid understanding of control theory and how software behavior interacts with power hardware and measurement circuitry.
Experience developing embedded web interfaces using HTML5, JavaScript, and related technologies.
Practical familiarity with lab-based debugging and validation tools used for embedded and power electronics development.
Exposure to industrial communication protocols, modeling or simulation tools, or automated test environments is considered beneficial.

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