Ph.D – Autonomous Driving Specialist

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Required Qualifications

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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

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- 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

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- Programming languages: Python, C++, ROS/ROS2, and MATLAB.

- Machine learning frameworks.

- Cloud computing and data pipelines.

Relevant Experience

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- 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. xysqume

- Publications or patents in autonomous mobility, teleoperation, or related fields.

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Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7a27qf