Design and integrate innovative sensor cleaning systems for various autonomous vehicle sensors (e.g., LiDAR, radar, cameras).
Define system requirements and specifications, considering factors like fluid management, power consumption, and durability.
Conduct feasibility studies and trade-off analyses for different cleaning technologies.
Contribute to the mechanical design and packaging of vehicle components, ensuring they are manufacturable and durable.
Assist in troubleshooting any dimensional issues in vehicle designs and builds.
Review and recommend assembly processes for components, focusing on controlling variation and improving processes.
Plan, develop, and execute reliability and performance tests for sensor cleaning systems, including environmental stress, durability, and real-world condition testing.
Analyze test data to evaluate system effectiveness and identify areas for improvement.
Troubleshoot and debug issues related to sensor contamination and cleaning system failures.
Collaborate with hardware, software, and perception software engineers to ensure seamless integration and validation of cleaning systems.
Work with suppliers to source and validate components.
Stay current with industry trends and advancements in sensor cleaning technologies and other mechanical engineering disciplines.
Requirements
Bachelor's or Master's degree in Mechanical Engineering, or a related field.
5+ years of experience in product development, with a focus on mechatronics, fluid dynamics, or mechanical systems.
Proven experience in designing and validating complex mechanical or electromechanical systems.
Strong understanding of fluid dynamics, material science, and their application in cleaning systems.
Experience with a variety of sensors used in autonomous systems (LiDAR, radar, cameras).
Proficiency in CAD software, with CATIA preferred.
Excellent problem-solving, communication, and cross-functional collaboration skills.
(Preferred) Experience in the automotive industry, particularly with autonomous vehicles or ADAS.
(Preferred) Familiarity with automotive quality standards (e.g., ISO 26262, AEC-Q100/200).
(Preferred) Knowledge of different types of environmental contaminants and their effects on sensor performance.
(Preferred) Experience with physics-of-failure and reliability modeling.
(Preferred) Experience with CAE/FEA and CFD.
(Preferred) Geometric Dimensioning and Tolerancing (GD&T) experience.