Job Description :
We are seeking a talented Control Systems Engineer with a strong foundation in control theory and software development.
The ideal candidate will be responsible for modelling, designing, and implementing real-time control systems in embedded and high-level environments.
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.(ref : hirist.tech)