To be an effective FO, concise communications is key within the SW team itself and across the other Function Owners delivering within the project
Function Development
Guide the development of computer vision algorithms(feature) to ensure they meet customer expectations
Work with algorithm project leaders to ensure customer issues and bugs are prioritised appropriately in advance of customer releases and avoid escalations
Work closely with the designated test engineers and be aware of the feature performance in all (automotive) conditions
Protect novel idea by patenting.
Customer Relations
Lead customer workshops to assess feature performance, capture issues and engage the team to propose solutions
Represent the CV team at the customer level as required
Supports P1 FO for customer interface in Computer Vision issues
Engage the customer to understand their requirements
Ensure regular communication with the customer to ensure alignment of expectations and risks for each feature release
Detailed scheduling and Reporting
Inform the customer/PM/PL about the status and the development plan of the feature
Contribute to the identification of the needs in terms of resources
Work with project managers, software project leads and customer to agree the feature development plan
Deliver SW functions on time, within scope
Management of the contributors
Create tasks and work packages for the functions
Aligns with Embedded, Algorithm and Test teams contributing to the Function development
Professional Experience
Min 10 years experience preferably in automotive embedded software/ADAS
Min 3 years of relevant professional experience in ADAS, vision processing
Computer vision, image processing research experiences
Strong leadership skills / potential
Strong interpersonal skills, flexibility, and focus on results
High level of innovation and motivation
Excellent communication skills, both written and verbal
Knowledge of ISO 26262 is an advantage
Understanding of computer vision algorithms and ADAS
Qualifications
Minimum Degree in engineering preferably in the fields of electronics / computer science
Master of Science in Computer sciences or Software Engineering or equivalent domain preferable
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