Ph.D – Autonomous Driving Specialist
Pubblicato il 11-10-2026 - Altro in Torino
Required Qualifications
Tutte le competenze, le qualifiche e l'esperienza necessarie per un candidato di successo sono elencate nella seguente descrizione.
Mandatory: Ph.D Completed, Active in research program.
Tecnocad is a leading engineering and design company based in Turin, Italy, with a global footprint of 500+ professionals, 7 offices across 4 continents, and over 100 projects delivered annually. Its Autonomous Vehicle (AV) division specializes in deploying turnkey autonomous driving solutions in semi-closed environments such as industrial parks, airports, and campuses, leveraging Autoware Universe and Nav2.
Tecnocad AV develops an integrated hardware and software stack for autonomous systems and holds a strong position in the national market. The team has extensive experience in vehicle-level system development, teleoperation and system integration, simulation and lightweight deployment, supported by an international R&D; network.
The company is advancing its capabilities in teleoperation, data management, and scalable software architectures that integrate perception, planning, and remote control. By developing robust teleoperation systems, curated large-scale datasets, and modular high-performance software pipelines, Tecnocad aims to reduce development cycles, enhance safety, and enable scalable autonomous deployments.
A proof-of-concept teleoperation platform is already available, with validation planned in simulation and controlled environments within six months.
Responsibilities
Autonomous driving architectures, including perception, planning, and control.
Teleoperation systems design, including real-time remote control and safety protocols.
Data curation, annotation, and management for machine learning applications.
Software development best practices, including modular and scalable architectures.
Simulation platforms for autonomous driving (e.g., CARLA, LGSVL, AWSIM).
Contribute to publications in peer-reviewed journals and international conferences.
Software Knowledge
Programming languages: Python, C++, ROS/ROS2, and MATLAB.
Machine learning frameworks.
Cloud computing and data pipelines.
Relevant Experience
Leading research or industrial projects in autonomous driving or robotics.
Managing large-scale datasets for training, validation, or benchmarking.
Bridging research outputs to deployed software in real-world or simulated environments. xlwpduy
Publications or patents in autonomous mobility, teleoperation, or related fields.
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