R&D Camera Architect

Valeo is a tech global company, designing breakthrough solutions to reinvent the 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 leader on 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 intrinsically 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 apply 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 specialize 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:

Camera Architecture Design

• Lead and develop the camera architecture of new product developments based on the system requirements derived from customer, working closely with each of the R&D teams to develop feasible solutions.
• Review of Customer/System Requirements and subsequent translation into internal camera Architectural design.
• Liaise with the Hardware, Mechanical, Software, Functional Safety, Cybersecurity, Optics and Industrial engineering to technically analyze and develop solutions.
• Perform engineering assessment of all internal and external change requests made to the project and translation of these into specific architecture requirements updates.
• General product design reviews, problem resolution and lead FMEA analysis.

Technology Development

• Research, design and development of next generation technologies for camera products.
• Develop proof of concept solutions within a team environment.
• Understand the technology trends to converse with internal and external customers and give guidance in terms of roadmap development with particular focus on camera module performance.
• Participate in, contribute to or lead technical communication with customers and technology suppliers.

Project Deliverables

• 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 agreed timing plan.
• Ensure all documentation outputs are baselined & managed through the Configuration Management & Change Control processes.
• Carry out all work to comply with Quality Management System.

Essential: 

• A relevant technical engineering degree in e.g. electronics, mechatronics.
• Good understanding of modern imaging systems (image sensors, optics, assembly processes etc...) for visible spectrum. Experience in non visible spectrum system 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 on requirements management and requirement management tools (DOORs).
• Be able to read, understand and summarize complex Datasheets for electronic components: Image Sensors, Serializers, Power Supplies...
• Strong verbal and written skills to communicate across teams, with management team and customers.
• High degree of innovation and creativity.
• Strong mindset of continuous learning.

Nice to Have: 

• Automotive experience.
• Image Signal Processing Tuning for visible cameras to understand Image Quality KPIs is a plus.
• Software skills on common used languages: C/C++, Phyton...
• Experience on ISO developing ASIL B systems.
• Basic understanding of Cybersecurity concepts.