You'll work closely with hardware, firmware, and systems teams to build high-performance, reliable, and scalable control applications for [product type, e.g., motion systems, robotic arms, power electronics].

Key Responsibilities :

- Design, develop, and tune closed-loop control algorithms (PID, state-space, adaptive, etc.) for realtime embedded systems.

- Develop control software in C/C++, Python, or MATLAB/Simulink for deployment on microcontrollers or embedded Linux platforms.

- Simulate and validate control models using MATLAB/Simulink or equivalent tools before deployment.

- Integrate control systems with sensors, actuators, and real-time data acquisition systems.

- Collaborate with embedded software and hardware teams to implement control logic on target hardware.

- Perform system identification, modelling, and plant parameter estimation.

- Optimize software and control performance for latency, stability, and robustness.

- Participate in code reviews, test strategy development, and system debugging.

- Document algorithms, interfaces, and tuning processes thoroughly.

Required Qualifications :

- Bachelors or Masters degree in Control Systems, Electrical Engineering, or a related field.

- 10+ years of experience in control systems engineering with embedded or real-time systems.

- Strong understanding of control theory (PID, LQR, observers, Kalman filters, etc.

- Proficiency in programming languages: C/C++, MATLAB/Simulink, and Python.

- Hands-on experience with embedded systems (e.g., ARM Cortex-M/R, DSPs, FPGAs).

- Experience with real-time operating systems (RTOS) or bare-metal systems.

Preferred Qualifications :

- Experience with model-based design (MBD) workflows and auto-code generation using Simulink.

- Familiarity with signal processing, estimation, and sensor fusion.

- Experience with control systems in robotics, automotive (e.g., motor control, chassis control), or power electronics.

- Understanding of CAN, SPI, I2C, and other real-time communication protocols.

- Exposure to version control systems (Git), CI/CD pipelines, and test automation.

- Familiarity with safety-critical software standards (e.g., ISO 26262, DO-178C) is a plus.

Soft Skills :

- Strong analytical and mathematical skills.

- Effective communication and documentation skills.

- Collaborative mindset with cross-functional teams.

- Ability to balance theoretical and practical engineering approaches.

Tools Technologies :

- MATLAB/Simulink, Control System Toolbox.

- Embedded C/C++, Python.

- RTOS platforms (e.g., FreeRTOS, Zephyr).

- Version control (Git), JIRA, Confluence.

- Hardware-in-the-loop (HIL) simulation platforms.