Job
- Level
- Experienced
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Metzingen
- Working Model
- Onsite
Job Summary
In this role, you will develop robust simulation and data pipelines within the AI/Perception team to create synthetic 3D scenes for robot training and optimize their behavior models in complex environments.
Job Technologies
Your role in the team
- You will become part of our AI/Perception team and help shape the synthetic worlds in which our robots learn before entering the real world.
- You will be responsible for building scalable simulation and data generation pipelines, as well as developing World Action Models that enable humanoid and collaborative robots to understand, predict, and act within complex scenes.
- Scene Simulation: Conception and construction of generated 3D scenes from real-world recordings for training and validating perception and policy models - from asset composition and physically accurate materials to dynamic population with humans and objects.
- Domain Randomization: Development of systematic randomization strategies (lighting, textures, physics, sensor noise, camera poses) to close the sim-to-real gap and ensure robust generalization to real-world robot deployments.
- 3D Inpainting & Scene Editing: Development of methods for consistently adding, removing, and modifying objects in 3D scenes and point clouds - for data augmentation, occlusion handling, and runtime scene manipulation.
- Simulation & Validation: Use of modern simulation environments (e.g. Isaac Sim, Gazebo, Unreal/Unity) and validation of real humanoid and collaborative robots - always with a focus on safety and robustness.
- World Action Models: Design and fine-tuning of generative world models that predict scene dynamics, object interactions, and the consequences of robot actions - as a foundation for model-based planning and policy learning.
- Interdisciplinary Collaboration: Work closely with AI, perception, control, and manipulation teams: define requirements, integrate sensor models, develop diagnostic tools, create documentation, and support CI/CD processes.
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Our expectations of you
Education
- Excellent Master's or PhD degree in Computer Science, Physics, Robotics, Computer Graphics, or a related field
Qualifications
- Excellent problem-solving skills and the ability to work both independently and as part of a team
- Very good written and spoken English
Experience
- 3+ years of relevant experience in at least one of the core areas: scene simulation/compositing, synthetic data generation, 3D vision, or 3D augmentation
- Strong programming skills in Python or modern C++; experience with CUDA is a plus
- Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and generative models (diffusion models, NeRFs, Gaussian splatting, transformer-based world models)
- Solid background in computer graphics, 3D geometry, and simulation: rendering pipelines, physical simulation, procedural generation, as well as experience with simulation environments such as Isaac Sim, Gazebo, Unreal, or Unity.
- Experience with synthetic data generation is advantageous
- Experience with sim-to-real transfer and deployment on robotics hardware (e.g., NVIDIA Jetson) is a plus.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
Neura Robotics GmbH
Neura Robotics GmbH, based in Metzingen, is an innovative company focused on cognitive robotic systems. With products like the robotic arm MAiRA and the humanoid robot 4NE1, the company integrates AI with mechanical elements to create seamless human-machine interaction. Over 1200 employees from more than 45 nations contribute to Neura Robotics' global expansion.
Description
- Company Type
- Startup
- Working Model
- Onsite
- Industry
- Electronics, Automatization
Vision Engineer - Synthetic 3D Data
- Location
- Metzingen
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
