Sr. Computer Vision Engineer (3d Semantic Scene Understanding)
CONXAI
Munich, Germany
3d semantic scene reconstruction
Geometric deep learning
Multi-modal data fusion
CONXAI has built a no-code, agentic AI platform for automating high-stakes, knowledge-intensive workflows in the AEC and physical industries
Job Summary
CONXAI has built a no-code, agentic AI platform for automating high-stakes, knowledge-intensive workflows in the AEC and physical industries.
The role involves designing logic for autonomous agents to navigate and reason about complex 3D environments grounded in physical and engineering constraints.
Employees enjoy high autonomy, working at the forefront of AI in construction tech with a global team and competitive compensation including significant equity upside.
Matching Summary
CONXAI has built a no-code, agentic AI platform for automating high-stakes, knowledge-intensive workflows in the AEC and physical industries.
Skills & Requirements
Must-have
3D semantic scene reconstruction
Geometric deep learning
Multi-modal data fusion
Spatial knowledge graph construction
Agentic AI inference and reasoning
Open3D and PyTorch3D implementation
3D reconstruction and mesh-fitting
Nice-to-have
Experience with physics engines
Agentic AI with GraphRAG or Langgraph
Fast-paced startup environment experience
Fluent English communication
Key Requirements
MS or PhD in Computer Science or related field
3+ years industry experience in Computer Vision and Deep Learning
2+ years leading 3D Computer Vision projects
Experience with multi-view stereo and TSDF reconstruction