We are looking for an experienced Technical Artist to support development of advanced synthetic data, simulation, and digital twin environments. The role requires a strong combination of artistic, technical, and pipeline-oriented 3D expertise with focus on scalable production workflows for AI and computer vision applications.

Responsibilities:

• Create, optimize, and maintain high-quality 3D assets and environments

• Build realistic scenes for synthetic data generation and simulation

• Prepare assets for real-time rendering and AI/vision systems

• Optimize geometry, textures, shaders, and lighting for performance and scalability

• Manage interoperability between multiple 3D tools and file formats

• Collaborate with AI engineers, robotics teams, simulation developers, and software engineers

• Support procedural and automated asset generation workflows

• Validate assets for compatibility across rendering and simulation platforms

Required Experience & Qualifications:

• professional experience in 3D production, technical art, visualization and simulation

• Strong hands-on experience with:

  • NVIDIA Omniverse

  • Maya

  • Blender

  • Unity

• Advanced understanding of:

  • USD / USDZ workflows

  • FBX, OBJ, GLTF/GLB, and other interchange formats

  • Scene composition and optimization

  • PBR materials, UV workflows, shaders, and texture pipelines

  • Lighting, rendering, and asset optimization

• Experience building assets for:

  • Synthetic data generation

  • Simulation environments

  • Real-time rendering systems

• Experience with large-scale asset management and structured content pipelines

• Understanding of coordinate systems, scene hierarchies, instancing, and asset referencing

• Familiarity with Linux-based production environments

• Experience with Git, Perforce, or other version control systems

• Strong understanding of performance constraints for GPU and real-time applications

• Ability to troubleshoot cross-platform asset compatibility issues

• Portfolio demonstrating both artistic quality and technical pipeline understanding

• Understanding of machine learning data requirements and annotation workflows

Personal Qualifications:

• Strong problem-solving and communication skills

• Ability to work independently and collaboratively

• Structured and detail-oriented approach

• Comfortable working in multidisciplinary technical environments

Application - please submit:

• Examples of Omniverse/USD-based work

• Examples of synthetic data cases you worked on

• Portfolio/showreel

• CV and LinkedIn profile