Control Strategy Engineer

Division

R&D

Department

ARAS, CS & Validation

Level

EX

Functional Area

Control Strategy

1

Job Title

Vehicle Control Software Development

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Reporting

Functional reporting to: General Manager, R&D

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Background

i) Educational Qualification

Essential: B.Tech / M.Tech in Mechanical / Mechatronics / Automobile / Electrical (with strong control & system dynamics background)

ii) Experience

Minimum:  3

Maximum:  7

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Job Role & Responsibilities

Role:   Vehicle Control Software development

Technical/ Functional:

• Responsible for designing and developing control software and control strategies for vehicle systems across Powertrain, Braking, Chassis, Body, Hybrid & Electric vehicle domains.


• Developing Model Based Design (MBD) solutions using MATLAB, SIMULINK & STATEFLOW as per system and software requirement specifications.


• Generating production-quality C code using Auto Code Generation tools such as dSPACE TargetLink / MathWorks Embedded Coder.


• Performing Model-in-Loop (MiL), Software-in-Loop (SiL) validation and unit-level testing.


• Integration of generated C code with Base OS, task scheduling, and real-time execution validation.


• Development and integration of CAN Interface Layer, followed by full system integration testing.


• Vehicle-level Testing & Validation of control software on prototype and production-intent vehicles.


• Calibration and tuning of performance parameters using tools such as INCA, CANape, etc.


• Vehicle data acquisition and analysis using tools such as BUSMASTER, CANoe, etc.


• Preparation and maintenance of software documentation, control strategy documentation, and requirement traceability.

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Competency Requirements

Specific expertise required for functional area:

• Strong understanding of vehicle control systems, control theory, and dynamic systems.


• Sound knowledge of Powertrain systems (ICE/HEV/EV), Braking Systems (ABS/ESP), and Vehicle Dynamics.


• Multi-disciplinary understanding of vehicle electronics, sensors & actuators, ECUs, powertrain and chassis systems.


• Sound knowledge of CAN-BUS communication, diagnostic concepts, and vehicle network architecture.


• Strong hands-on experience with MATLAB, SIMULINK, STATEFLOW.


• Strong hands-on with auto-code generation tools such as TargetLink, Embedded Coder.


• Hands-on vehicle calibration and validation experience is mandatory.


• Good understanding of Model-in-Loop (MiL) and Software-in-Loop (SiL) testing practices.


• Awareness of software development best practices, source code management (SVN, Git), and CI/CD workflows.


• Python scripting knowledge for automation and data processing is an added advantage.


• Strong mechanical systems intuition: torque generation, driveline dynamics, etc.

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Likely sources

Continental, Eaton, Tata Technologies, Bosch, Daimler Truck Innovation Centre India, MBRDI, L&T, Ather, Ola Electric, KPIT, AVL.