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 startup 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, startups, 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, EE, software, validation, manufacturing, procurement, IP, suppliers, startups 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.