Robotics Engineer - Learning-Based Manipulation (f/m/d)
Pubblicato il 03-09-2026 - Raicam in Torino
AICAM Mondovi Site (Cuneo) is looking for a Robotics Engineer - Learning-Based Manipulation AICAM ( ) is Raicam's robotics division, focused on developing and industrializing service robots for real hospitality environments. We are looking for a Robotics / Computer Vision Engineer (f/m/d) to help develop the learning-based manipulation capabilities of our robots, from perception to policy to execution on real hardware. You will work on the pipeline that turns multi-camera 3D perception into activity reasoning and robust bimanual manipulation, closing the loop by iteratively deploying on the real robot.
You will join our robotics team and work closely with the perception, control, and hardware engineers who own the surrounding stack, focusing on the computer vision and robot learning core that enables our robots to carry out manipulation tasks in dynamic, unstructured hospitality environments such as restaurants, hotels, and hospitals. Own the teleoperation and demonstration data pipeline: the collection setup, data quality and curation, and the path from recorded episodes to trained policies. Build high-fidelity simulation of the robot for training manipulation policies and rapid testing, with a strong focus on domain randomization and sim-to-real transfer.
Design and train learning-based policies for bimanual manipulation in hospitality settings, and bring them from simulation to deployment on real hardware. Develop the 3D perception that drives manipulation, including multi-view depth and point-cloud processing, 6-DoF pose and grasp estimation, and scene representations built from RGB-D. Develop grasp strategies for the objects our robots encounter in service environments, including rigid and deformable items handled from imperfect real-world perception.
Validate on real hardware through iterative cycles of refinement and redeployment, working with the perception and control engineers to integrate the manipulation stack. Strong background in learning-based robotic manipulation, with hands-on experience on real hardware. Solid computer vision and 3D learning: point clouds, depth, multi-view geometry, and 6-DoF pose estimation or grasp regression.
Hands-on experience with robotic grasping and/or imitation learning.
Experience with teleoperation and data collection for robot learning. Proficiency in Python and PyTorch, with ROS 2 familiarity. Working experience with at least one robotics simulator (Isaac Sim / Lab, MuJoCo, ManiSkill). Proven ability to debug and tune robotic systems in real-world conditions, dealing with sensor noise, latency, and mechanical limitations.
Experience in any of the following is a plus. Vision-Language-Action (VLA) models: fine-tuning or deploying policies such as π0 / π0.Advanced 3D scene representations for manipulation (Scene Graphs, NeRF, 3D Gaussian Splatting). Hands-on experience with robot embodiments such as mobile manipulators, dual-arm systems, or humanoids. Engineers who bridge theory and real-world execution, comfortable both reading a research paper and diagnosing why a policy fails on the real robot.
Italian National Collective Bargaining
Agreement (CCNL Metalmeccanico Industria). The complete rewards proposal will include an individual merit allowance on top of the base minimum, a fixed production allowance, welfare benefits, performance bonuses, healthcare coverage (Metasalute), and pension options (Cometa). xrdztoy Applications are welcome from all individuals regardless of gender, age, sexual orientation, ethnicity, background, or disability status.