Computer Vision

vor 1 Woche

Frankfurt am Main, Hessen, Deutschland Energy Robotics GmbH Vollzeit
ABOUT THIS POSITIONYOUR TASKS
  • 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.
YOUR PROFILE
  • 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.
HELPFUL ADDITIONAL QUALIFICATIONS
  • Experience with LLMs, VLMs, VLAs and multi-modal embeddings.
  • Familiarity with semantic scene graphs-based 3D Gaussian splatting.
  • Exposure to cloud-based data services or AI workflow orchestration.
  • Contributions to open-source projects in AI/robotics or publications in the field.
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