Valeo is a tech global company, designing breakthrough solutions to reinvent mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions. We are leaders in our businesses and recognized as one of the largest global innovative companies.
Company Overview
Headquartered in Tuam, Co. Galway, Valeo Vision Systems VVS is the world leader in providing advanced driver-assistance and automated parking systems. The Computer Vision Department is responsible for developing custom-built state-of-the-art algorithms designed to leverage the full power of today's most advanced multi-core automotive embedded platforms. Computer vision functions including 3D object detection, pedestrian and vehicle classification, trajectory mapping, online calibration, lens soiling detection, collision mitigation, lane and park-slot detection, and much more feed into a detailed map of the vehicle's environment via advanced sensor fusion. The department applies state-of-the-art computer vision techniques to the automotive domain; object detection, classification, structure-from-motion, localization & mapping, and machine & deep learning. The team specializes in redefining state-of-the-art computer vision and delivering next-generation advanced driver-assistance and automated driving systems for leading European, American, and Asian OEMs.
Responsibilities:
* Lead and develop the camera architecture of new product developments based on the system requirements derived from customers, working closely with each of the R&D teams to develop feasible solutions.
* Review Customer/System Requirements and translate them into internal camera architectural design.
* Liaise with Hardware, Mechanical, Software, Functional Safety, Cybersecurity, Optics, and Industrial engineering to analyze and develop solutions.
* Perform engineering assessments of all internal and external change requests made to the project and translate these into specific architecture requirements updates.
* Conduct general product design reviews, problem resolution, and lead FMEA analysis.
* Research, design, and develop next-generation technologies for camera products.
* Develop proof of concept solutions within a team environment.
* Understand technology trends to converse with internal and external customers and provide guidance in terms of roadmap development with a focus on camera module performance.
* Participate in, contribute to, or lead technical communication with customers and technology suppliers.
* Lead camera architecture design activities for the project in accordance with Valeo development processes in compliance with ASPICE.
* Participate in project teams and report on camera development activities as appropriate.
* Complete scheduled tasks within assigned projects to deliver system development output to the project team as per the agreed timing plan.
* Ensure all documentation outputs are baselined & managed through the Configuration Management & Change Control processes.
* Carry out all work to comply with the Quality Management System.
Qualifications and Experience:
* A relevant technical engineering degree in e.g., electronics, mechatronics.
* Good understanding of modern imaging systems (image sensors, optics, assembly processes, etc.) for the visible spectrum. Experience in non-visible spectrum systems is a plus.
* Good understanding of video transmission protocols for imaging systems: MIPI CSI-2, Parallel Video, Video Serialization (FPD-Link, GMSL). Basic knowledge about Video over Ethernet and video compression algorithms is a plus.
* Experience in requirements management and requirement management tools (DOORs).
* Ability to read, understand, and summarize complex datasheets for electronic components: Image Sensors, Serializers, Power Supplies, etc.
* Strong verbal and written skills to communicate across teams, with management, and customers.
* High degree of innovation and creativity.
* Strong mindset of continuous learning.
Nice to Have:
* Image Signal Processing Tuning for visible cameras to understand Image Quality KPIs is a plus.
* Software skills in commonly used languages: C/C++, Python, etc.
* Experience in ISO developing ASIL B systems.
* Basic understanding of Cybersecurity concepts.
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