Vehicle Intelligence and Architecture Engineer

About the Role

The Vehicle Intelligence and Architecture Engineer at Daimler India Commercial Vehicles Pvt Ltd will engage deeply in the complete lifecycle of addressing customer challenges—from identifying needs and scouting technology to ideating practical solutions, designing concepts, creating 3D models, integrating prototypes, testing, and delivering stakeholder validations for production adoption. This role involves translating global trends and startup innovations into actionable vehicle intelligence concepts targeting logistics, yard management, depots, mining, ports, and construction sectors and collaborating with cross-functional teams across vehicle engineering, software development, validation, and manufacturing.

Key Responsibilities

• Systematically understand customer needs to craft problem and requirement statements supporting value-added solutions.
• Lead end-to-end research and proof-of-concept projects, defining clear scopes, milestones, risks, and success metrics.
• Investigate global technology developments, startups, patents, competitor solutions to assess their applicability for Daimler India Commercial Vehicles.
• Conceptualize vehicle designs integrating emerging technologies including zero-emission powertrains.
• Utilize design thinking to identify driver and customer needs, frame challenges, and propose viable solution alternatives.
• Create system concepts, develop functional architectures, packaging proposals, 3D CAD models, detailed engineering drawings, and prototype components.
• Integrate mechanical, electrical, electronic, sensing, control, and software elements to build operational demonstrators.
• Design and execute experiments, analyze results, troubleshoot issues, and improve designs through iterative cycles.
• Foster collaboration spanning vehicle engineering, electrical/electronic teams, software, validation, manufacturing, procurement, intellectual property, suppliers, startups, and academic partners.
• Document project outcomes, risks, limitations, and recommendations to produce reusable engineering knowledge and technology transfer materials.
• Deliver functional prototypes or validated experimental setups per milestone plans and make evidence-based recommendations concerning project continuation, adaptation, transfer, or cessation.

Qualifications and Experience

• B.E./B.Tech. or M.E./M.Tech. degree in Mechanical, Mechatronics, Electrical, Electronics, Automobile, Robotics, or related fields.
• Robust practical understanding of the trucking industry, emerging automobile technologies, and vehicle system integration including mechanical, electrical, electronic, and software interfaces.
• Strong foundations in engineering principles and analytical calculations.
• Experience working with zero-emission vehicle components, autonomous vehicle integration, and vehicle architecture design.
• Proven research and experimentation experience, including progressing at least one concept from problem definition through to a working prototype.
• Skillful in ideation, engineering sketches, and 3D CAD modeling (preferably NX), including part and assembly design, packaging, and drafting engineering drawings.
• Hands-on experience with component selection, fabrication including additive manufacturing, sensor and actuator integration, assembly, testing, and troubleshooting.
• Knowledge of autonomous systems and ADAS technologies such as cameras, radar, LiDAR, ultrasonic sensors, and embedded communication protocols (CAN, LIN, Ethernet).
• Familiarity with software and programming tools such as MATLAB/Simulink, Python, C/C++, ROS, and workflows in computer vision or machine learning enhancing capabilities.
• Understanding of human-machine interfaces, data acquisition, vehicle simulation, functional safety, and cybersecurity concepts is advantageous.
• Ability to independently manage deliverables, collaborate effectively across multiple disciplines, and communicate complex technical information clearly.