3D Developer

We are seeking a 3D Developer who will play a key role in creating, optimizing, and refining high-quality 3D models and simulations for AI-driven applications. This role has two main components: creating realistic 3D objects and writing pipelines that create large randomised data sets. We place more emphasis on the latter aspect, which means we are looking for a programmer with some experience in 3D tooling. In this role, you will collaborate closely with our AI engineers and technical teams to digitize real-world objects, fine-tune synthetic data generation, and contribute to the development of accurate, scalable datasets for training AI models with impact.

Responsibilities:

• Create and optimize detailed 3D models of real-world objects, ensuring high levels of accuracy and realism.

• Create procedural modelling pipelines that are able to generate thousands of images at the press of a button. Designing a realistic 3D object is one thing, but making it randomisable in shape, texture, material, etc. is another challenge!

• Develop, fine-tune, and maintain synthetic data generation pipelines to enhance AI model training and testing.

• Collaborate with AI teams to ensure that generated data meets the required quality and diversity standards for machine learning models.

• Improve existing simulation workflows, focusing on scalability, automation, and seamless integration with AI pipelines.

• Design and implement efficient processes for handling large-scale 3D datasets, including data management, version control, and experiment tracking.

• Ensure the fidelity and consistency of synthetic datasets by performing validation and quality checks.

• Work closely with engineers and developers to integrate simulation assets and synthetic data into production AI models for real-time inference and decision-making.

• Continuously explore new tools, techniques, and technologies to improve 3D modeling and synthetic data generation processes.

The ideal candidate is a developer who is passionate about 3D modeling, simulation, and has a keen interest in contributing to sustainable AI advancements through high-quality synthetic data creation.

• Basic understanding of AI workflows, particularly in training and validating models with synthetic data.

• Good knowledge of programming and scripting for automation. Experience with scripting in 3D tools (Blender, Houdini, etc.) is a plus.

• Good knowledge of procedural modelling workflows for object generation and randomisation.

• Experience working with 3D models. Understand concepts like textures, materials, etc. and know how to tweak 3D models by hand, e.g. modify their shape, smoothen surfaces, etc.

• Experience with rendering tools (Blender, Houdini) or game engines (Unreal, Unity) is a big plus.

• Interest in AI for data augmentation & improvement like generative AI is a big plus.

• Experience with version control systems and managing large-scale data sets and assets is a plus.

• Strong attention to detail, with the ability to problem-solve and optimize 3D assets for performance and realism.

• A collaborative mindset—open, honest, and ready to contribute to building the company’s success.

• Flexible, highly motivated, and driven by ambition to learn and grow.

• Eager to continuously improve your skills and share your knowledge with the team.