Computer Vision, AI Engineer

Job Description: • Develop and deploy vision-based perception algorithms for autonomous inspection robots using deep learning and machine vision techniques, including CNN- and ViT-based architectures • Design and implement supervised, self-supervised, and unsupervised learning methods for multi-modal data (RGB, LiDAR, thermal, etc.) • Build and optimize models for: Object detection and tracking (2D & 3D) • Anomaly detection • LiDAR-based semantic segmentation and 3D point cloud understanding • Optimize models for on-device inference (quantization, pruning, distillation) and deploy them on edge hardware (NVIDIA Jetson Xavier/Orin/Thor, etc.) • Integrate perception pipelines into robotic systems via ROS1/ROS2 and collaborate closely with software and robotics teams • Support MLOps workflows, ensuring reproducible training, evaluation, and CI/CD for AI models • Support and maintain cloud-based AI pipelines on AWS (SageMaker, Bedrock, Lambda, S3) for scalable training, inference, and model lifecycle management • Contribute to research on multi-modal and 3D representations (Gaussian Splatting, NeRF, OpenCLIP-based embeddings) • Participate in continuous improvement of our AI infrastructure for mission planning, semantic mapping, and robot autonomy Requirements: • Degree in Computer Science, Robotics, or a related technical field • 2+ years of professional experience in computer vision, deep learning, or robot perception • Strong understanding of Vision Transformers (ViTs), Convolutional Neural Networks (CNNs), and DETR-based models for object detection • Hands on experience with Frameworks including PyTorch, OpenCV, MMDetection, and/or Detectron2 • Applied experience in Optimization & Deployment with TensorRT, ONNX, Docker, and/or NVIDIA DeepStream • Direct experience with Data Annotation using CVAT, and/or Label Studio, and/or 3D Point Labeler • Practical experience in Versioning & MLOps using GitLab CI/CD, MLflow, n8n, AWS SageMaker, and/or Bedrock • Strong programming skills in Python, C++, Bash • Strong analytical, problem-solving, and growth mindset • Excellent collaboration between cross-functional AI and robotics teams • Passion for innovation, autonomy, and pushing the boundaries of perception systems • Ability to work independently and manage multiple priorities in a fast-paced environment • Fluent in English. Benefits: • Growth & Development • Annual education budget • Learn from world-leading robotics experts • Knowledge-sharing sessions & workshops • Flexibility & Time Off • Flexible remote work and workation possibilities • Support for a standing desk for your home office • Wellbeing & Community • Be part of an international team with over 20 nationalities • 1:1 sessions with certified psychologists and mental health workshops • Team events: hackathons, outdoor adventures & more • Weekly sponsored team lunches • Financial Perks • Support for public transport costs • Extra employer contribution to company pension scheme • Allowance for kindergarten costs possible • ...and more benefits & discounts Apply tot his job