Vehicle Intelligence & Architecture Engineer

Tasks

Vehicle Intelligence Engineer Role in Mobility/Vehicle Technology Group India will own the full lifecycle of technology scouting, concept design, 3D modelling, prototype integration, testing and stakeholder demonstration. You will translate global trends and start-up innovations into functional vehicle-intelligence concepts for logistics, yard, depot, mining, port and construction applications, collaborating across vehicle engineering, software, validation, manufacturing and external partners.

• Manage an end-to-end technology research or PoC project with defined scope, milestones, risks and measurable success criteria.
• Analyse global technology trends, start-ups, patents, publications and competitor solutions for relevance to DICV.
• Apply design thinking to capture customer/driver needs, frame problems and generate feasible concept alternatives.
• Develop system concepts, functional architectures, packaging proposals, 3D CAD models, engineering drawings and prototype parts.
• Integrate mechanical, electrical, electronic, sensing, control and software elements into functional demonstrators.
• Plan and conduct experiments, establish baselines, analyse data, troubleshoot failures and optimise concepts through iterative design-build-test-learn cycles.
• Coordinate with vehicle engineering, E/E, software, validation, manufacturing, procurement, IP, suppliers, start-ups and academic partners.
• Document findings, risks, limitations and recommendations; create reusable engineering knowledge and technology-transfer packages.
• Deliver a functional prototype or validated experimental setup against an agreed milestone plan and provide evidence-based recommendations for continuation, modification, transfer or termination.

Qualifications

• B.E./B.Tech. or M.E./M.Tech. in Mechanical, Mechatronics, EEE, ECE, Automobile, Robotics or related discipline.
• Strong knowledge of automobile technology, vehicle systems and mechanical, electrical, electronic and software interfaces.
• Hands-on experience in research, experimentation and proof-of-concept development, with at least one idea taken from problem definition to a functional prototype.
• Proficiency in 3D CAD modelling, part and assembly design, basic packaging and engineering drawings.
• Practical exposure to component selection, fabrication/additive manufacturing, sensor/actuator integration, assembly, testing and troubleshooting.
• Familiarity with autonomous systems, ADAS, cameras, radar, LiDAR, ultrasonic sensors and embedded controllers (CAN/LIN/Ethernet).
• Experience with MATLAB/Simulink, Python, C/C++, ROS and computer-vision or machine-learning workflows.
• Understanding of HMI, data acquisition, vehicle simulation, functional safety or cybersecurity concepts.
• Ability to independently own deliverables, work across disciplines and communicate complex technical topics clearly.