Bajaj Auto—Control Strategy Engineer

Job description

Description: 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.