Senior Phisical AI Expert
Ernst and Young20 days ago
Rome, ItalySenior
Responsibilities
- Design, develop, and implement Physical AI solutions for industrial automation, collaborative robotics, and autonomous systems.
- Design sensor-processing pipelines using LiDAR and depth cameras for robotic navigation.
- Develop and optimize control algorithms for legged and humanoid robots, including whole-body control and trajectory optimization.
- Integrate AI algorithms into complex physical systems and manage the full simulation, validation, and hardware deployment lifecycle.
- Train and integrate AI models into ROS 2 architectures and define software architectures for distributed robotic systems.
- Conduct rigorous testing and performance evaluation of robotic systems.
- Research and develop new Physical AI technologies and methodologies.
- Provide technical leadership, training, and mentorship to junior team members.
- Collaborate with multidisciplinary teams and enterprise clients on high-impact projects.
Requirements
- Master's degree or PhD in Robotics, Computer Science, Physics, or a related discipline.
- Experience in applied robotics, or a PhD focused on real-world projects.
- Expertise with ROS 2, including Nav2, tf2, and lifecycle nodes.
- Experience with Isaac Sim, Isaac Gym, or Gazebo and sim-to-real transfer.
- Experience processing point clouds with PCL or Open3D and working with sensor fusion.
- Experience with PyTorch and reinforcement learning applied to motion control.
- Advanced Python and C++ for performance-critical modules.
- Experience with legged or humanoid robots, such as Unitree, Boston Dynamics, Agility, or Figure.
- Knowledge of locomotion-control algorithms, including whole-body control and trajectory optimization.
- Familiarity with NVIDIA Omniverse, Isaac Sim, and TensorRT.
- Experience with GPU computing using CUDA and deployment on Jetson edge devices.
- Background in industrial or construction-site environments.
- Analytical mindset, flexibility, teamwork, English proficiency, familiarity with artificial-intelligence tools, and knowledge of Microsoft Office.
- The posting also states that STEM, economics, or law degrees with technology-focused pathways may be considered.
Benefits
- Innovative, high-impact enterprise projects focused on the future of Physical AI.
- Collaborative environment with a strong R&D and technical-growth focus.
- Access to GPU clusters, simulators, and robotic hardware.
- Structured professional development, technical and management courses, and leadership programs.
- Hybrid work without centrally fixed office days and the possibility of working remotely from abroad for up to 20 days when not traveling.
- International mobility and access to a global professional network.
- Counselor support from the first day, welfare benefits, and other employee programs.
- Annual bonus tied to previously communicated and agreed objectives.
- Employment governed by the Italian CCNL Commercio collective agreement.
Categories
ML EngineeringRobotics
About Ernst and Young
Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.