Energy Robotics
Robot Software Engineer(m/w/x)
Full-timeWith HomeofficeExperienced
Darmstadt
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ENEnergy Robotics
Computer Vision & AI Engineer(m/w/x)
Darmstadt
Full-timeWith Home OfficeExperienced
AI/ML
Nejo AI Summary
Developing vision-based perception algorithms for autonomous inspection robots at a mobile robotics software firm, with LiDAR 3D point cloud understanding. 2+ years in computer vision or robot perception with ViTs/CNNs/DETR models and PyTorch/TensorRT experience required. Annual education budget, flexible remote work, and 1:1 psychologist sessions.
Requirements
- Degree in Computer Science, Robotics, or 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
- 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
Tasks
- Develop and deploy vision-based perception algorithms for autonomous inspection robots
- Design and implement supervised, self-supervised, and unsupervised learning methods for multi-modal data
- Build and optimize models for object detection and tracking
- Implement anomaly detection techniques
- Conduct LiDAR-based semantic segmentation and 3D point cloud understanding
- Optimize models for on-device inference through quantization, pruning, and distillation
- Deploy models on edge hardware like NVIDIA Jetson Xavier/Orin/Thor
- Integrate perception pipelines into robotic systems using ROS1/ROS2
- Collaborate with software and robotics teams
- Support MLOps workflows for reproducible training and evaluation of AI models
- Maintain cloud-based AI pipelines on AWS for scalable training and inference
- Contribute to research on multi-modal and 3D representations
- Participate in the continuous improvement of AI infrastructure for mission planning and robot autonomy
Work Experience
- 2 - 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- PyTorch
- OpenCV
- MMDetection
- Detectron2
- TensorRT
- ONNX
- Docker
- NVIDIA DeepStream
- CVAT
- Label Studio
- 3D Point Labeler
- GitLab CI/CD
- MLflow
- n8n
- AWS SageMaker
- Bedrock
- Python
- C++
- Bash
Benefits
Additional Allowances
- Annual education budget
- Kindergarten cost allowance
Learning & Development
- Knowledge-sharing sessions
Flexible Working
- Flexible remote work
Ergonomic Workplace
- Support for standing desk
Mental Health Support
- 1:1 sessions with psychologists
- Mental health workshops
Team Events
- Team events
- Weekly sponsored team lunches
Public Transport Subsidies
- Support for public transport costs
Retirement Plans
- Extra employer contribution to pension scheme
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Energy Robotics and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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ENEnergy Robotics
Computer Vision & AI Engineer(m/w/x)
Darmstadt
Full-timeWith Home OfficeExperienced
AI/ML
Nejo AI Summary
Developing vision-based perception algorithms for autonomous inspection robots at a mobile robotics software firm, with LiDAR 3D point cloud understanding. 2+ years in computer vision or robot perception with ViTs/CNNs/DETR models and PyTorch/TensorRT experience required. Annual education budget, flexible remote work, and 1:1 psychologist sessions.
Requirements
- Degree in Computer Science, Robotics, or 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
- 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
Tasks
- Develop and deploy vision-based perception algorithms for autonomous inspection robots
- Design and implement supervised, self-supervised, and unsupervised learning methods for multi-modal data
- Build and optimize models for object detection and tracking
- Implement anomaly detection techniques
- Conduct LiDAR-based semantic segmentation and 3D point cloud understanding
- Optimize models for on-device inference through quantization, pruning, and distillation
- Deploy models on edge hardware like NVIDIA Jetson Xavier/Orin/Thor
- Integrate perception pipelines into robotic systems using ROS1/ROS2
- Collaborate with software and robotics teams
- Support MLOps workflows for reproducible training and evaluation of AI models
- Maintain cloud-based AI pipelines on AWS for scalable training and inference
- Contribute to research on multi-modal and 3D representations
- Participate in the continuous improvement of AI infrastructure for mission planning and robot autonomy
Work Experience
- 2 - 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- PyTorch
- OpenCV
- MMDetection
- Detectron2
- TensorRT
- ONNX
- Docker
- NVIDIA DeepStream
- CVAT
- Label Studio
- 3D Point Labeler
- GitLab CI/CD
- MLflow
- n8n
- AWS SageMaker
- Bedrock
- Python
- C++
- Bash
Benefits
Additional Allowances
- Annual education budget
- Kindergarten cost allowance
Learning & Development
- Knowledge-sharing sessions
Flexible Working
- Flexible remote work
Ergonomic Workplace
- Support for standing desk
Mental Health Support
- 1:1 sessions with psychologists
- Mental health workshops
Team Events
- Team events
- Weekly sponsored team lunches
Public Transport Subsidies
- Support for public transport costs
Retirement Plans
- Extra employer contribution to pension scheme
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Energy Robotics and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Energy Robotics
Industry
Other
Description
The company develops intelligent autonomy software for collaborative mobile robots, aiming to revolutionize the robotics industry.
Not a perfect match?
- Energy Robotics
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