Automotive - AI Engineer

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.
• •Research new vision and other sensor technology, ideas, and approaches.
• •Support Intellectual Property activities and generate Invention Disclosure Memos to facilitate patent applications.
• •Contribute to design reviews across algorithm teams.
• •Consider next generation algorithms and new business opportunities.
• •Develop algorithms with a view to implementing on embedded platforms.
• •Represent Valeo anSWer at various Industry Working Groups and at Conferences.
• •Support the design and implementation of in-company training sessions in your area of expertise.
• •Strive to improve competencies in the field of automotive sensors based ADAS, DL frameworks & techniques.
• •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
• •Experience with object detection models such as YOLO and semantic segmentation
• •Expertise in python programming and strong software engineering practices
• •Proficiency with version control tools such as git, bash scripting, and automation
• •Excellent analysis & trouble-shooting skills using a structured documented approach
• •Excellent communication skills, both written and verbal
• •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.
• •Experience designing complex systems with multiple algorithms or modules
• •Academic publications in top-tier conferences such as CVPR, NeurIPS, ICCV, and ECCV.
• •Experience with commercially deploying algorithms in robotics, LIDAR, camera systems, or sensor fusion.
• •Experience developing algorithms for autonomous and/or real-time systems.
• •Deep knowledge of camera systems.
• •Automotive industry experience.

Experience

2 to 5 Yrs