Computer Vision, AI Engineer

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November 4

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Energy Robotics

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Energy Robotics provides an end-to-end solution for autonomous inspections in capital-intensive industries such as oil & gas, chemical, power and utilities. Our hardware-agnostic software platform enables asset owners to easily manage a fleet of robots and drones for autonomous inspection. We equip robots and drones to collect high quality data and use AI driven analytics to convert it into actionable information. With over 80 robots deployed across 4 continents, our team of robotics wizards is already transforming industrial operations. Our mission is to relieve humans from repetitive, undesirable, and hazardous tasks through autonomous robotics, while helping industries accelerate their journey to Industry 4.0.

11 - 50 employees

💰 Grant on 2022-10

📋 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