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 is a world leader in providing advanced driver-assistance and automated driving/parking systems. The Perception System Department is responsible for delivering custom-built state-of-the-art Computer Vision algorithms intrinsically designed to leverage the full power of today's most advanced multi-core automotive embedded platforms. The department apply state of the art computer vision techniques to the automotive domain; object detection, classification, structure-from-motion, localisation & 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/parking systems for leading European, American and Asian OEMs.

Responsibilities:

• As a computer vision product owner, you will be expected to lead the development of computer vision algorithms to ensure they meet the expectations of our ADAS customers.

Initiation & Planning:

• Engage with customers (can be internal or external) to understand their requirements and ensure requirements are documented in accordance with Valeo process.
• Derive necessary data catalogs, ground truth requirements, and annotation rules to adequately support algorithm development needs.
• Coordinate with project managers, software project leads and customers to agree the feature development/maturity grade plans.
• Collaborate with architects on the definition of algorithm architecture and interfacing in the wider ADAS platforms.

Execution & Reporting:

• Ensure requirements linkage and traceability in accordance with Valeo process and ASPICE.
• Inform customers about the status and the development plan of their features
• Ensure regular communication with customers to ensure alignment of expectations and risks for each feature release.
• Work closely with algorithm and embedded software project leaders to ensure features, issues and bugs are prioritized appropriately in advance of customer releases and avoid escalations.
• Participate in customer and internal workshops to assess feature performance, capture issues and engage the team to propose solutions.
• Work closely with test teams to ensure suitable KPI metrics are established in test report generation and to be aware of the feature performance in all (automotive) conditions.
• Support trace analysis/debug of performance and integration issues.
• Report to internal and external management on algorithm maturity grade progress.
• Contribute to RFQ reviews to understand how your algorithms can support potential future customer projects.

Education & Training:

• Bachelors Degree in Software Eng., Computer Science, Physics, Electronic Eng., Mathematics or equivalent.

Professional Experience:

Required

• Computer vision expertise, ideally in ADAS domain.
• Customer engagement.
• Requirements elicitation and definition.
• Project delivery experience, from cradle to grave, to real world end users
• High level of innovation and motivation.
• Excellent English language communication skills, both written and verbal.
• Excellent communication skills, both written and verbal.
• Excellent MS-Office tools or equivalent.
• Excellent problem Solving skills
• Use of Feature Context Diagrams and Data Flow Diagrams.
• Knowledge of developing software for embedded platforms.

Desirable:

• Good understanding of Automotive R&D Processes.
• Experience in ASPICE standard
• Experience using requirement engineering tools “DOORs”.

Job:

R&D Team Leader/Architect

Organization:

Platform CDA

Schedule:

Full time

Employee Status:

Regular

Job Type:

Permanent contract

Job Posting Date:

2023-02-10

Join Us !

Being part of our team, you will join: