AI Perception Engineer (Robotics)

Location: On-site in Metzingen / Riederich, Germany

Company

hirify.global develops humanoid and collaborative robots designed to perceive, understand, and interact with dynamic human environments.

What you will do

• Architect and build the end-to-end perception pipeline from raw camera, LiDAR, IMU, force/torque, and joint-sensor data to actionable world models.
• Develop sensor-fusion, object-detection and tracking, 3D-reconstruction, and scene-understanding capabilities for humanoid and collaborative robots.
• Research state-of-the-art robot perception and deep learning, transferring relevant academic results to real robots.
• Design, train, fine-tune, and deploy neural networks in the cloud and on embedded robotic hardware.
• Implement real-time perception software in modern C++ and Python using classical computer vision and GPU acceleration.
• Validate perception modules in Gazebo, Isaac Sim, and real robot platforms while collaborating with hardware, control, planning, and manipulation teams.

Requirements

• Excellent Master's or PhD degree in computer science, robotics, or a related field.
• 3+ years of experience building robust perception stacks for dynamic, human-centered environments.
• Strong programming skills in Python or modern C++.
• Practical experience with PyTorch or TensorFlow for robotics perception tasks.
• Solid background in computer vision, 3D and multi-view geometry, sensor fusion, point-cloud processing, and OpenCV.
• Excellent English-language communication skills and availability for on-site work in Metzingen / Riederich are required.

Nice to have

• Experience with CUDA and GPU acceleration.
• Deployment on NVIDIA Jetson or other embedded robotics hardware.
• Experience with ROS2, DDS, PCL, Gazebo, or Isaac Sim.

Culture & Benefits

• Cross-functional collaboration with hardware, control, planning, and manipulation teams.
• Work spans simulation and real robot platforms.
• Opportunity to bring advances from academic research into production robotics systems.
• Involvement in diagnostics, performance tooling, documentation, and CI/CD practices.