Glydways

Autonomous Vehicle Mechanical Engineer – Sensor Cleaning

Glydways

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

Assembly

About the role

  • 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.
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