AI Robotics Engineer

Location: Munich, Germany
Work format: On-site

Company

hirify.global is hiring for its AI department to develop learning systems that run on physical robots.

What you will do

• Design and build multimodal learning systems that combine camera, depth, tactile, IMU, language, and robot-state inputs into executable actions.
• Define policies for dexterous robotic hands and develop learning systems for physical robot hardware.
• Build and maintain GPU-accelerated simulation environments and scalable data pipelines.
• Lead engineering work to transfer policies from simulation to physical robots.
• Translate research problems into engineering milestones and guide engineers across ML, robotics, and hardware teams.
• Support the growth of junior engineers.

Requirements

• 6+ years of experience in computer science or a related engineering field, including meaningful experience delivering AI systems on physical robotic hardware.
• Hands-on experience designing or co-leading multimodal manipulation systems combining vision, language, tactile, and proprioceptive inputs.
• Experience building simulation infrastructure with Isaac Lab and Isaac Sim or MuJoCo for reinforcement learning and sim-to-real transfer.
• Deep practical knowledge of imitation learning, including diffusion policies, deep reinforcement learning, and hybrid learning approaches on real robot hardware.
• Experience with heterogeneous, high-frequency sensor-data pipelines covering teleoperation, tactile, vision, depth, and robot-state data.
• Strong Python and C++ skills, plus experience with ROS2 and embedded or real-time systems.

Nice to have

• Experience with high-DOF, tendon-driven, or tactile-heavy dexterous hands.
• Familiarity with VLA or vision-language-action architectures and large-scale pre-training workflows.
• Contributions to the robotics or AI research community, including ICRA, IROS, CoRL, or NeurIPS.