Control Strategy Engineer

bajajauto; India; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Bajaj Auto in India is seeking an experienced vehicle dynamics control software engineer to design and develop control strategies for Powertrain, Braking, Chassis, Body, Hybrid and electric vehicle domains. You will implement model-based design using MATLAB/SIMULINK, generate production-quality C code, and validate via MiL/SiL tests on prototype and production vehicles.

The role requires hands-on experience with CAN interfaces, calibration tools and data analysis, and a strong foundation in

Qualifications

• Minimum 3 years of experience in vehicle control software development.
• Strong background in control theory and dynamics for vehicles.
• Experience with model-based design and automotive protocols.

Responsibilities

• Design and develop control software and strategies for vehicle systems across Powertrain, Braking, Chassis, Body, Hybrid & EV domains.
• Develop MBD solutions using MATLAB, SIMULINK & STATEFLOW per system and software specs.
• Generate production-quality C code using TargetLink / Embedded Coder.
• Perform MiL, SiL validation and unit testing.
• Integrate generated C code with Base OS, scheduling and real-time validation.
• Develop and integrate CAN Interface Layer and do full system integration testing.
• Vehicle-level testing & validation on prototype and production-intent vehicles.
• Calibrate and tune performance parameters using INCA, CANape, etc.
• Analyze vehicle data using BUSMASTER, CANoe, etc. and maintain software documentation.

Education

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

Tools

MATLAB

SIMULINK

STATEFLOW

TargetLink

Embedded Coder

CANoe

BUSMASTER

CANape

MiL/SiL testing

Job description

Select how often (in days) to receive an alert:

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

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.

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Likely sources

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