What we offer
- Work in an international, agile team creating the future of autonomous systems
- Grow your career in a expanding and ambitious engineering team
- Build innovative products using state-of-the-art technologies in AI, robotics, and autonomy
- Benefit from a steep learning curve and continuous development
- Enjoy team events and a strong, collaborative culture
Your mission
- Develop scalable synthetic data generation pipelines using Unreal Engine 5
- Design, build, and maintain high-quality Unreal Engine systems using C++, Python, Blueprints, and custom plugins
- Develop tools and automation to improve simulation workflows and dataset generation
- Create, integrate, and optimize realistic environments, assets, and rendering pipelines
- Work extensively with Blender and 3D assets to build high-quality simulation environments
- Generate synthetic datasets for computer vision applications including object detection, tracking, segmentation, and sensor simulation
- Collaborate closely with AI, robotics, and computer vision engineers to continuously improve data quality and simulation realism
- Optimize performance, scalability, and maintainability across the simulation pipeline
Your profile
- 4+ years of professional experience developing software with Unreal Engine, game engines, simulation platforms, or comparable real-time 3D environments (Exceptional senior candidates are also encouraged to apply)
- Strong professional experience developing with C++
- Strong Python programming skills for tooling, automation, and pipeline development
- Practical experience using Blender for creating, editing, or optimizing 3D assets
- Solid experience with Unreal Engine 5, including: C++ development, Plugin development, Blueprints, Asset integration
- Experience building production-quality software rather than academic or hobby projects
- Good understanding of rendering pipelines, simulation environments, or synthetic data generation
- Familiarity with Git and collaborative software development workflows
Nice to have
- Experience with synthetic data generation for AI or computer vision applications
- Familiarity with robotics, autonomous systems, or simulation environments
- Experience with procedural generation, digital twins, or geospatial datasets
- Experience working with cloud platforms such as AWS or StackIT
What else
- Intrinsic motivation, attention to detail, and strong problem-solving mindset
- Creative thinker with a structured and systematic approach
- Humble and collaborative — prioritizes collective success over individual recognition
- High ethical standards and disciplined work ethic
- Extra-curricular leadership or achievements are a bonus
- Fluent in English, German is a plus
- Nationality of a NATO member nation or close ally is required
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