Opening For Controls Engineer(MBD)

About the Role:

We are seeking a highly motivated Controls Engineer to join our Advanced Engineering Team. The role focuses on the research, development, validation, and prototyping of advanced control systems for automotive control systems, state estimation, sensor fusion, etc.

The ideal candidate combines strong theoretical understanding of control systems with practical hands-on experience in hardware experimentation, sensor integration, system debugging, and rapid proof-of-concept development. This position requires curiosity, strong analytical skills, and the ability to translate research concepts into functioning real-world demonstrations.

Key Responsibilities:

• Control algorithms development for various applications
• Modeling & Simulation
• State Estimation & Sensor Fusion
• Research & Benchmarking
• Hardware Validation & Prototyping

Required Qualifications

Technical Skills

• Strong fundamentals systems and control.
• Knowledge of estimators and observers.

Hardware Experience

• Hands-on experience working with:
• Sensors, embedded systems
• Test setups and laboratory equipment
• Ability to: Troubleshoot and debug hardware issues

Software & Programming

• Proficiency in MATLAB and Simulink.
• Basic to intermediate programming skills.

Electrical & Electronics Knowledge

Basic understanding of:

• Analog and digital electronics
• Power systems and electrical fundamentals
• Sensor interfaces
• Signal conditioning
• Communication protocols (UART, SPI, I2C, CAN, Ethernet)

Preferred Qualifications

• Experience with Automotive controls such vehicle/motor controls etc.
• Experience with automotive perception sensors and multi-sensor fusion.
• Familiarity of systems modelling.
• Familiarity with embedded controllers and real-time systems.
• Exposure to autonomous system frameworks.
• Knowledge of Model-Based Design using MATLAB/Simulink.
• Experience with Hardware-in-the-Loop (HIL) or Software-in-the-Loop (SIL) testing.
• Understanding of system identification techniques.
• Exposure to machine learning techniques applied to control or estimation problems.
• Experience reading and implementing algorithms from research publications.

Desired Attributes

• Strong analytical and problem-solving skills.
• Ability to bridge theory and practical implementation.
• Self-driven and comfortable working on open-ended research topics.
• Curiosity to investigate emerging technologies and innovative solutions.
• Excellent documentation and technical communication skills.
• Comfortable working in multidisciplinary teams involving software, electronics, mechanical, and systems engineering.

Education:

Bachelor's/Masters Degree (B.Tech./B.E./M.E./M.Tech.) or higher in one of the following disciplines:

• Aerospace Engineering
• Electrical Engineering
• Electronics & Communication Engineering
• Mechatronics Engineering
• Mechanical Engineering (with strong controls background)
• Robotics Engineering
• Instrumentation & Control Engineering
• Related Engineering disciplines