Algorithm Engineer-Computer Vision, Perception And Path Planning Torino

Algorithm Engineer-Computer Vision, Perception And Path Planning
Torino
Piemonte, Torino

Algorithm Engineer-Computer Vision, Perception and Path Planning About Tecnocad: With over thirty years of experience, Tecnocad has been focusing on providing a complete service in the automotive field, covering the entire development process from concept to assistance during the production start-up phase. Tecnocad, with its flexibility, responsiveness and expertise, is the perfect partner to support its customers in all the challenges they may face, adapting its organization to the customer's project needs. Compliant to the proper management standards or adapting to customer's organization, Tecnocad offers a complete service in the field of product development, making available its competences and the continuous research of innovation internally developed by R&D teams. TC Autonomous, the new department of Tecnocad, is dedicated to the development of advanced autonomous driving solutions in the passenger transport, logistics, and services sectors. Operating in both urban environments and off-road contexts, the company stands out for its ability to design flexible and scalable technologies, addressing the diverse mobility needs of the future. Project Description: Tecnocad, through its TC Autonomous division, is developing ADone, an innovative Level 4 autonomous robotaxi project designed to revolutionize urban mobility. ADone is a shared mobility solution capable of fully autonomous operation in urban environments and geo-fenced areas, without human intervention. By integrating advanced technologies such as LIDAR, radar, and vision systems, ADone can accurately navigate city streets, adapt to dynamic traffic conditions, and ensure maximum passenger safety. Designed as an eco-friendly robotaxi, ADone aims to reduce emissions and improve the efficiency of urban transportation, providing a modern, safe, and comfortable travel experience. Duties/Activities: Supporting the design and development of advanced algorithms for autonomous driving systems Supporting the creation of advanced perception systems to enable the vehicle to accurately perceive and react to its surrounding environment Supporting the test and validation processes and also data and performance analysis oriented to the continuous improvement of accuracy and reliability Contribute to the development of simulations and models to validate autonomous driving features and scenarios. Code documentation, maintenance, testing and review Requirements: Graduating student in Robotics/Computer/Automation/Electronics/Mechatronics Engineering Proficiency in Linux-based operating systems Good understanding of C/C++ and Python Understanding of algorithms related to computer vision, sensor fusion, machine learning, and autonomous systems (as a plus) Continuous improvement & motivation for knowledge increase Proactive behavior Team player with strong focus on closing targets Proficiency in English Job Type: Full-time/Part-time on site Our Offer: 3 - 6 months Curricular Internship J-18808-Ljbffr