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 autonomyRequirements:• 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