Computer Vision Product Owner

Company Overview:

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”.