Algorithm Engineer-Computer Vision, Perception And Path Planning
Algorithm Engineer-Computer Vision, Perception and Path PlanningAbout 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 systemsSupporting the creation of advanced perception systems to enable the vehicle to accurately perceive and react to its surrounding environmentSupporting the test and validation processes and also data and performance analysis oriented to the continuous improvement of accuracy and reliabilityContribute to the development of simulations and models to validate autonomous driving features and scenarios. Code documentation, maintenance, testing and reviewRequirements: Graduating student in Robotics/Computer/Automation/Electronics/Mechatronics EngineeringProficiency in Linux-based operating systemsGood understanding of C/C++ and PythonUnderstanding of algorithms related to computer vision, sensor fusion, machine learning, and autonomous systems (as a plus)Continuous improvement & motivation for knowledge increaseProactive behaviorTeam player with strong focus on closing targetsProficiency in EnglishJob Type: Full-time/Part-time on site
Our Offer: 3 - 6 months Curricular Internship
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