Posted:14 hours ago|
Platform:
On-site
Part Time
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.
Your 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
Minimum Qualifications
Bachelors or Masters in Computer Science, Artificial Intelligence, Data Science, or related field
2-5 years relevant experience in AI / DL development
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
Highly Desirable Qualifications
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.
Job:
R&D EngineerOrganization:
Artificial Intelligence DevelopmentSchedule:
Full timeEmployee Status:
RegularJob Type:
Permanent contractJob Posting Date:
2025-10-06Valeo
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