Division

R&D

Department

ARAS, CS & Validation

Level

EX

Functional Area

Control Strategy

1

Job Title

Vehicle Control Software Development

2

Reporting

Functional reporting to: General Manager, R&D

3

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

4

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.

5

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.

6

Likely sources

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