Description de la mission
We are looking for technology game changers to transform Stellantis into a software automotive company. Technology, software, and artificial intelligence are disrupting the automotive industry. Our new AI/Autonomous Driving division was created to build the most captivating experiences on the latest frontier of Automotive Technology.
The Team
The Perception and Fusion team within AI/AD is building the core functionalities to allow our vehicle to perceive the world around it and to make the right decision in every situation. We are looking for passionate, curious and entrepreneurial engineers to join our team to work in solving complex technical challenges in all Perception areas (Radar, Lidar, 3D Computer Vision, classification, semantic segmentation, early and late fusion, prediction, tracking, etc.), applying the latest state-of-the-art algorithms You will be working with a kind, dynamic and diverse team across the world.
In this role you will:
• Investigate and develop Radar perception and fusion both with traditional and ML approaches.
• Support the optimization and deployment of these models on the Stellantis vehicles.
• Support the Radar sensor engineering, analyzing and evaluating product performance with respect to the Stellantis perception requirements.
• Proactively support the DevOps and MLOps teams providing feedback and suggestions on how to improve our software pipeline.
• Proactively work cross functional to understand and solve the challenges related to Perception systems in Autonomous Driving.
Profil recherché
Minimum Qualifications:
• Technical maturity of a bachelor's degree in a quantitative field.
• 1+ years of experience with hands-on Radar perception and/or Radar/Camera fusion algorithms.
• 1+ years of experience in perception/robotics Machine Learning projects.
• 3+ years of experience with object-oriented programming (e.g., Python and/or C++) and with some of the most popular ML frameworks (e.g., TensorFlow, PyTorch, etc.).
• Advocate for software engineering good practices (e.g., test-driven development, version control, documentation).
• Passion for solving unstructured problems.
Preferred Qualifications:
• M.Sc. or Ph.D. in Robotics, Computer Vision, Computer Science, Machine Learning, or similar.
• Experience in multi-sensor perception and fusion, mobile robotics (e.g., ROS), 3D visualization, distributed systems, embedded systems for ADAS (Advanced Driver Assistance Systems), and mapping.
• Experience in implementing the latest Deep learning applied research to build Proof of Concept and prototypes.