Autonomous driving Engineer
engineeringAutonomous Vehicle Design Engineer Qualifications & Skills
- Bachelor's or Master's degree in Mechanical Engineering, Electrical Engineering, Robotics, or a related engineering field; Master's or Ph.D. preferred.
- 5+ years of experience in the design, development, and integration of autonomous vehicle systems and components.
- Strong ADAS (Advanced Driver Assistance Systems) and autonomous vehicle development experience.
- Strong understanding of vehicle dynamics, control systems, robotics, and autonomous driving technologies.
- Proficiency in Python, C++, MATLAB, and Simulink for engineering analysis, simulation, controls development, and so ftware implementation.
- Experience with Model-Based Design (MBD) and automatic code generation for embedded automotive systems.
- Experience developing and validating control algorithms using MATLAB/Simulink and other engineering simulation tools.
- Familiarity with machine learning and artificial intelligence applications in autonomous vehicles and ADAS.
- Experience with configuration management and version control tools used in automotive software and systems development.
- Experience with requirements management tools and traceability throughout the development lifecycle.
- Strong understanding of the V-Model/V-Cycle development process, including requirements, design, implementation, integration, verification, and validation.
- Familiarity with Agile development methodologies and experience working in cross-functional engineering teams.
- Understanding of automotive development standards, processes, and system-level integration is highly desirable.
- Strong problem-solving, analytical, and critical-thinking skills with the ability to troubleshoot complex vehicle and software systems.
- Ability to work independently while collaborating effectively with multidisciplinary engineering teams.
- Excellent verbal and written communication skills.