Vision Engineer - Synthetic 3D Data (human)
- NEW
Vision Engineer – Synthetic 3D Data (human)
Neura Robotics • Metzingen
Give Our Robots Consciousness
In the AI Department, you'll develop the cognitive abilities of our robots, enabling them to understand and interact with their surroundings. You'll work on algorithms that make machines intelligent and adaptive—ranging from object recognition and language processing to decision-making in complex environments. You'll be part of a team that pushes technological boundaries and collaborates closely with software, hardware, and product management teams. Using cutting-edge tools and methods from machine learning and AI, you'll work on projects that have a direct impact on our products. If you're excited about making machines smarter and shaping the future of human-machine interaction, the AI Department is the perfect place for you.
- Full-time
Metzingen
from today Your Mission & ChallengesYou 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.
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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.
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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.
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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.
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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.
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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.
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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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Excellent Master's or PhD degree in Computer Science, Physics, Robotics, Computer Graphics, or a related field
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3+ years of relevant experience in at least one of the core areas: scene simulation/compositing, synthetic data generation, 3D vision, or 3D augmentation
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Strong programming skills in Python or modern C++; experience with CUDA is a plus
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Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and generative models (diffusion models, NeRFs, Gaussian splatting, transformer-based world models)
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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
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Experience with synthetic data generation is advantageous
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Experience with sim-to-real transfer and deployment on robotics hardware (e.g. NVIDIA Jetson) is a plus
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Excellent problem-solving skills and the ability to work both independently and as part of a team
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Very good written and spoken English
What you can look forward to
Creative Freedom and Agility
Enjoy a dynamic, self-reliant work culture with flat hierarchies, flexible hours, and 30 vacation days. Ideal for those seeking an inspiring professional setting, whether you're starting out or an experienced exec.
Passion for Winning
A passionate and highly skilled team of international experts aiming to redefine robot assistants.
Attractive Compensation
Enjoy a competitive salary package along with exclusive employee discounts.
One Team
Whether it's a summer party or company town hall meetings, we celebrate our successes together.
Professional Growth
Support for your personal and professional development.
Our values. The cornerstones of our success.
STRONGER TOGETHERWe are a team. We strive to achieve great things by promoting the success of our colleagues and partners.
PASSION DRIVES USWe strive for technological progress in order to give people back their valuable time for enjoyable activities.
MAKING A CHANGEWe strive to revolutionize the world of robotics by pushing the boundaries of technology every day.
TRUST AND HONESTYWe live a high level of appreciation through open communication and transparency.
WE SPEED THINGS UPWe do our best to always be two steps ahead. We achieve this through empowerment, freedom of action and personal responsibility.
WE ARE HUMANPeople are at the center of everything we do.
Our Location
Headquarters: Innovate in Riederich, Live in Metzingen and StuttgartOur headquarters in Metzingen and Riederich are the heart of our company. It's not just home to our offices, but also our production facilities, Academy, logistics, and Tech Labs—all working together to turn ideas into reality. Riederich itself is a small, peaceful town, just a kilometer away from Metzingen, a city with its own unique character. Metzingen is globally renowned as Outlet City, attracting visitors from all over the world. Here, you can enjoy exclusive designer stores in a relaxed and charming setting. The city also offers a variety of restaurants, cafés, and a down-to-earth Swabian coziness—perfect for unwinding after work.
Our application process
We ensure a transparent and efficient process and look forward to getting to know you during the application process.
1/2 2/2Your insight into our daily work
1/4 2/4 3/4 4/4Unsere Mission
David Reger Gründer und CEO"Our goal was to develop the world's first cognitive robot that can work with people, learn from them and provide them with targeted support. And that is exactly what we have achieved. But there is much more to come!"