Radar Component Development Engineer
This is a systems engineering position with a focus on sensors, particularly RADAR sensors. As the owner of the RADAR component within the organizations ecosystem, you will develop and maintain expertise needed for organization to select, integrate, and launch RADAR products. You will develop/model sensor functional requirements by working closely with Feature Owners.
• Integrate RADAR sensors into the
organizations vehicles and electrical architectures
o Develop Functional Requirements based on
Use Cases, Scenarios, and Operational Design Domain
o Support the efforts of adjacent teams to
integrate RADAR, for example Software Integration, Networking, Systems
Architecture, Body, etc.
o Consolidate requirements from internal
customers into one cohesive set of Radar requirements for each program
o Author documentation that will be used for
integration and sourcing of Radar components (RFI/RFQ, PF, SOWs, etc.)
• Prototype Vehicle Support
·
Requirements:
• Education: Bachelor’s degree in
Engineering
• Strong knowledge of engineering physics,
including the equations of motion, electricity and magnetism, and RF
o Longitudinal control systems (Autonomous
Emergency braking and Forward Collision Warning, Adaptive Cruise Control,
Intelligent Speed Assistance);
o Lateral control systems (Lane Departure
Warning and Lane Keeping Assist, Lane Centering, Blind Spot and Active Blind
Spot monitoring);
o Low speed maneuvering systems (Parking
assistance, Semi and Full Autonomous Parking Systems, Rear and surround viewing
systems);
Preferred Requirements:
• Education: Master’s degree in Engineering
• Specialized education or research in
Optics, RF systems, Electronic Materials, Remote Sensing
• Experience working directly with ADAS/AD
Sensors, such as Radar, RADAR, Camera, and Ultrasonics.
• Experience in System Engineering
• Experience in the development of Driving
Assistance and Automated Driving systems, including in-vehicle activities and
exposure to test drives / field Operation testing activities.
• Knowledge of environmental sensing/machine
vision technologies required for ADAS and Automated Driving systems inclusive
of most of the following:
o Lane/object detection/classification;
o SOCs/antenna design/radomes/detectors/lenses,
imager system technologies, image processing and data filtering techniques;
o Data collection / re-simulation
through HIL / SIL techniques.
• Knowledge about the main worldwide
reference requirements in term of automotive Active Safety assessments / rating
(EuroNCAP, US-NCAP/NHTSA, IIHS);
• Knowledge of tools for vehicle data
analysis and logging (Canalyzer, CANAPE, ADTF,…)
• Knowledge of localization techniques
(SLAM, HD mapping, precision GPS, correction services integration)