Design and implement supervised, self-supervised, and unsupervised learning methods for multi-modal data (RGB, LiDAR, thermal, etc.).
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.
2+ years of professional experience in computer vision, deep learning, or robot perception.
~ Hands on experience with Frameworks including PyTorch, OpenCV, MMDetection, and/or Detectron2.
~ Direct experience with Data Annotation using CVAT, and/or Label Studio, and/or 3D Point Labeler.
~ Strong programming skills in Python, C++, Bash.
~ Fluent in English.
Exposure to cloud-based data services or AI workflow orchestration.
Contributions to open-source projects in AI/robotics or publications in the field.
With hundreds of thousands and very soon millions of inspections performed across five continents and software trusted by the world's top energy leaders, we’re not just imagining impact—we're delivering it.
We are a team of roboticists, AI experts, and world champions who grew up programming robots and never stopped developing intelligent autonomy software for collaborative mobile robots. With our diverse team of 70+ people from 25+ different countries, our team is uniquely qualified to revolutionize the industry. Additionally, we work closely with notable partners and collaborators such as AWS, Boston Dynamics, DJI, Ericsson, Google, Intel, Microsoft, Mitsubishi, Nokia, Nvidia, SAP and many more. YOUR BENEFITS AT ENERGY ROBOTICS*
Flexible remote work and workation possibilities
Support for a standing desk for your home office
Be part of an international team with over 20 nationalities
~Team events: hackathons, outdoor adventures & more
~ Extra employer contribution to company pension scheme
and more benefits & discounts
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