Overview:
As an artificial intelligence engineer, you will be responsible for the development of state of the art algorithms enabling Automated Driving Assistance Systems.
Examples of such algorithms include: VRU detection, localization, traffic sign detection, lane detection, park slot detection, object detection and classification & scene understanding.
Responsibilities:
- Research, develop, benchmark, test and document state of the art algorithms for autonomous driving.
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Research new vision and other sensor technology, ideas, and approaches.
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Support Intellectual Property activities and generate Invention Disclosure Memos to facilitate patent applications.
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Contribute to design reviews across algorithm teams.
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Consider next generation algorithms and new business opportunities.
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Develop algorithms with a view to implementing on embedded platforms.
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Represent Valeo anSWer at various Industry Working Groups and at Conferences.
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Support the design and implementation of in-company training sessions in your area of expertise.
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Strive to improve competencies in the field of automotive sensors based ADAS, DL frameworks & techniques.
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Identify inefficiencies and suggest/implement improvements within the current processes used in algorithm development.
Qualifications:
Bachelors or Masters in Computer Science, Artificial Intelligence, Data Science, or related field
Essential skills:
- Strong knowledge of deep learning concepts and computer vision
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Experience with object detection models such as YOLO and semantic segmentation
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Expertise in python programming and strong software engineering practices
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Proficiency with version control tools such as git, bash scripting, and automation
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Excellent analysis & trouble-shooting skills using a structured documented approach
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Excellent communication skills, both written and verbal
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Confident, collaborative, self-motivated, determined & energetic
Desired skills:
- Specialization in one or more of these areas preferred: Transformers, Multi-task learning, Optimization, and Multi-modal models.
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Experience designing complex systems with multiple algorithms or modules
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Academic publications in top-tier conferences such as CVPR, NeurIPS, ICCV, and ECCV.
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Experience with commercially deploying algorithms in robotics, LIDAR, camera systems, or sensor fusion.
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Experience developing algorithms for autonomous and/or real-time systems.
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Deep knowledge of camera systems.
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Automotive industry experience.
Experience:
2 to 5 Yrs
