Vision Engineer for Learning-Driven Robotic Manipulation

Linkedin; Lazio; In loco; EUR 30.000 - 36.000; Tempo pieno

Descrizione del lavoro

AICAM Mondovi Site in Rome, Italy is seeking a Vision Engineer to advance learning-based robotic manipulation from perception to real hardware deployment. You will work on pipelines that convert multi-camera 3D perception into actionable policies and robust bimanual manipulation in dynamic hospitality settings.

The role emphasizes building sim-to-real capable systems, training policies, and integrating with perception and control teams.

Competenze

• Experience with learning-based robotic manipulation 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.

Mansioni

• 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.

Conoscenze

Python

PyTorch

ROS 2

Imitation learning

Teleoperation data collection

Point clouds

6-DoF pose estimation

Strumenti

Isaac Sim

MuJoCo

ManiSkill

Descrizione del lavoro

AICAM Mondovi Site in Rome, Italy is seeking a Vision Engineer to advance learning-based robotic manipulation from perception to real hardware deployment. You will work on pipelines that convert multi-camera 3D perception into actionable policies and robust bimanual manipulation in dynamic hospitality settings.

The role emphasizes building sim-to-real capable systems, training policies, and integrating with perception and control teams.