Sr. Computer Vision Engineer (3D Semantic Scene Understanding)

About the Position

We are seeking a Senior Computer Vision Engineer (3D Semantic Scene Understanding) to join our team at CONXAI Technologies GmbH in Munich, Germany. As a key member of our technology team, you will lead the development of a spatial reasoning engine for our agentic AI platform, focusing on the intersection of 3D Semantic Reconstruction, Geometric Deep Learning, and Agentic Inference.

Responsibilities

• Semantic Scene Reconstruction: Develop algorithms for 3D scene representation that prioritize geometric primitives and semantic labels over pixel-accuracy. This includes surface reconstruction, occupancy mapping, and volumetric segmentation.
• Multi-Modal Fusion: Architect systems that fuse panoptic segmentation representations from CONXAI’s AEC Foundation model with 3D models to generate high-fidelity, labeled representations.
• Knowledge Graph Augmentation: Automate the augmentation of 3D spatial data to CONXAI’s Spatio-Temporal Knowledge Graphs, mapping the hierarchical and functional relationships between structural elements.
• Agentic Inference & Reasoning: Design agentic workflows that perform complex reasoning tasks directly on the STKG.
• Actionable Affordance Mapping: Implement methods to identify "affordances" within a 3D volume, defining how agents or users can interact with the environment based on its physical geometry and engineering logic.
• Optimization & Scaling: Deploy state-of-the-art models, representations, and inferred domain context into production use-cases that deliver significant value to customers.

Requirements

• MS / PhD in Computer Science, Robotics, Electrical Engineering, or related field.
• 3+ years of industry experience in Computer Vision and Deep Learning.
• 2+ years of leading 3D Computer Vision projects, specifically, geometric deep learning, 3D reconstruction.
• Experience with physics engines, e.g., NVIDIA Isaac Gym, MuJoCo, PyBullet, etc. is a plus.
• Experience in Agentic AI implementations with GraphRAG, Langgraph/LlamaIndex is a plus.
• Exceptional implementation experience with Open3D / PyTorch 3D, reconstruction (multi-view stereo, surface reconstruction, and mesh-fitting, e.g., with TSDF), 2D → 3D “lifting”.
• Thorough understanding of software design.
• Previous experience in a fast-paced technology startup environment is a plus.
• Fluent and articulate in English.

We Offer

• Edge of Innovation: Be at the absolute forefront of AI in the construction tech space.
• High Autonomy: Contribute to a new paradigm for multi-modal scene understanding and reasoning - owning the logic, performance, and customer impact.
• Top-Tier Peer Group: Work with a global team of ML engineers, software engineers, and industry practitioners.
• Equity & Scale: Competitive compensation with significant equity upside.

About the Company

CONXAI has built an agentic AI platform for the Architecture, Engineering, and Construction (AEC) and physical industries, focused on knowledge-automation. We automate high-stakes, knowledge-intensive workflows traditionally trapped in siloed data, fragmented tools, and tacit (undocumented) human expertise. Our multi-agent systems perform complex reasoning in the physical world and transform bespoke, service-heavy processes into scalable Service-as-a-Software automation. CONXAI is trusted by some of the leading AEC companies in Europe, US, LATAM, and Japan.