Software and Control Engineer

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:

• Bachelor’s or Master’s 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.

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