Capgemini is looking for a Computer Vision, Artificial Intelligence & Robotics Engineer to join our Engineering team. You will be involved in developing innovative solutions based on artificial intelligence, computer vision, and robotics, contributing to the design, implementation, and industrialization of end-to-end intelligent systems.
What You'll Do
- Design and develop Computer Vision and Deep Learning algorithms for image processing, object detection, tracking, segmentation, and sensor fusion.
- Develop and train Artificial Intelligence models for industrial, automotive, medical, or robotic applications.
- Integrate AI solutions on embedded, edge, or cloud systems.
- Develop software for robotic systems focusing on perception, planning, and control.
- Integrate and validate sensors such as RGB/Depth cameras, LiDAR, and radar.
- Collaborate with multidisciplinary teams including system engineering, mechanical, electronics, and QA.
- Optimize the performance, robustness, and reliability of developed solutions.
- Create technical documentation and support testing, validation, and industrialization phases.
What We're Looking For
- Proven experience developing Computer Vision and Machine Learning solutions.
- Knowledge of AI frameworks like TensorFlow, PyTorch, and OpenCV.
- Strong command of programming languages, with a preference for Python and C++.
- Experience in robotics, including ROS/ROS2, autonomous systems, control, and perception.
- Knowledge of embedded systems and edge/cloud architectures.
- Familiarity with software development pipelines, CI/CD, and code versioning with Git.
- Strong analytical, problem-solving skills, and an innovation-oriented approach.
- Ability to work in Agile teams and within technologically complex contexts.
Nice to Have
- Knowledge of simulation and digital twin techniques.
- Experience in automotive, industrial automation, or medical fields.
- Knowledge of Docker and Kubernetes.
Technical Stack
- AI Frameworks: TensorFlow, PyTorch, OpenCV
- Languages: Python, C++
- Robotics: ROS/ROS2
- Tools: Git, Docker, Kubernetes
Team & Environment
You will collaborate with multidisciplinary teams in the areas of system engineering, mechanical, electronics, and QA.
Benefits & Compensation
- Flexible work solutions including remote work and flexible hours.
- Professional growth paths designed to support the exploration of opportunities.
- An inclusive work environment that values diversity.
- Compensation will be discussed during the interview process.
Work Mode
This is a hybrid role open to candidates in Torino, Milano, Bologna, Roma, and Napoli.
This position is open to all genders in accordance with Legislative Decree 198/2006. We welcome and are sensitive to future resources belonging to protected categories, as per articles 1 and 18 of law 68/99.
