Cockpit AI Personalization & Prediction Specialist #SWX

Key Skills

3D data processing, Aartificial intelligence, C++, Computer Vision (CV), Data Analysis, Data Warehousing, Deep Learning, Linux Operating system, Machine learning techniques, matplotlib, NumPy, OpenCV, Optimization, Pandas, Python Programming, PyTorch, Scrum Agile Methodology, TensorFlow

Job Description

PERMANENT CONTRACT Build your brand. Tell your story. Take advantage of a rare opportunity to start from the ground up and build something great. We are looking for technology game changers to transform Stellantis into a software-centric automotive company. Technology, software, and artificial intelligence are disrupting the automotive industry. Our new software organization, SWX, was created to build the most captivating experiences on the latest frontier of automotive technology. This role is hybrid, and for the Cockpit AI Engineering team within SWX. Our team is looking for highly qualified and motivated candidates who want to advance the state-of-the-art of AI/ML in real time embedded applications and deliver results that have a meaningful impact on our customers. The candidate will be working with an innovative, dynamic, and diverse team across the world (e.g., France, Italy, USA, India, Brazil). We are ideally looking for a candidate with experience in machine learning, deep learning, data engineering, application development, and/or embedded software. Experience deploying machine learning methods beyond proof-of-concept stage into any real-world production application is seen as a major asset. It is most important for a candidate to demonstrate a strong understanding and motivation for engineering, a mindset of continuous learning, and a track record of creating things that work. You will be responsible for some of the following: • Support our brands by powering our next generation vehicles with AI enhanced features for the in-cabin environment. – recommenders, predictions, multimodal context, computer vision, sensor fusion • Work on complex cross disciplinary problems involving every step of development from uses case definition to solution design to in-vehicle testing. – edge (embedded), mobile, cloud, infotainment, audio, biometrics, entertainment, navigation and HMI • Deliver proof-of concept projects working with internal and external teams to provide guidance to product roadmaps – sensors, tools, AI algorithms (classical/DNN/rule based) , use of CPU/NPU/GPU • Demonstrate new capabilities and produce intellectual property to advance our technological edge across the AI automotive domain. • And … something that we may not have thought of. We value creativity and believe that the brightest engineers and scientists always come up with new ideas to bring new technologies with potential business value. – Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering or related degree field – Minimum 12+ years of experience in software application engineering – Minimum 7 to 9 years of experience in AI ONLY SEND CV IN EGLISH

– Good communication skills and the ability to interface with application software developers, vehicle integration, and validation engineering organizations – Ability to interface with Tier I and Tier II automotive suppliers and partners – Ability to work both independently and in a team-oriented, collaborative environment – Analytical thinking and problem-solving capability – Technical maturity in real time 3D world modelling and representation from embedded sensors – Experience with object-oriented programming (e.g., Python and/or C++) and software engineering good practices (e.g., test-driven development, version control, documentation) – Experience with the full machine learning (including deep learning) pipeline – Experience in data management and analytics (e.g., collect, labelling, curation, databases) – Experience with open-source libraries for machine learning, 3D visualization, and computer vision (OpenCV, Open3d, Tensorflow, Pytorch, skikit-learn) – Experience with Python data analysis tools (NumPy, Pandas, Matplotlib) – Experience using scripts and macros and databases (relational/objects), data warehouses and datalakes – Automotive Experience is required with knowledge of CAN protocols, tools and signal analysis – Masters degree or higher in Computer Science, Automotive Software Engineering, Electrical Engineering, or related degree field – 12+ years of AI software engineering industry experience – Experience with connected cockpit or autonomous driving applications – Experience working within an Agile/Scrum software development process – Familiarity of automotive product development process like ASPICE, V-model – Experience in multi sensor fusion and modelling for AI cockpit purpose – Multimodal AI modelling (voice/touch/gaze) – Experience in EDA and data processing – Experience in Distributed systems, embedded/ real-time systems for ADAS – Experience with software development in Linux environment – Experience in reading scientific papers / implementing the latest applied research to build prototypes – Ability to analyze and conduct statistical analysis on large datasets – Recommend changes at Department level Workflow Process – Technical scope expands to impact department – Self-sufficient and independent decision making without much of direction – Complete ownership and accountability for strategy and solution architecture – Go-to person for technical features with messages tailored appropriately to audience – Should be able to lead a small team if required At Stellantis, we assess candidates based on qualifications, merit and business needs. We welcome applications from people of all gender identities, age, ethnicity, nationality, religion, sexual orientation and disability. Diverse teams, will allow us to better meet the evolving needs of our customers and care for our future. ONLY SEND CV IN ENGLISH