Head of Engineering – Geospatial​/Perception

Head of Engineering — Geospatial/Perception

We’re seeking a visionary Head of Engineering — Geospatial/Perception to lead the development of advanced AI systems that understand and reason about the physical world through geospatial data. This role is perfect for someone passionate about building models that interpret complex spatial patterns, integrate multimodal data, and enable next-generation mapping and intelligence solutions.

You’ll define the technical vision for a platform that transforms how geospatial information is analyzed and applied. From satellite imagery to sensor networks, your work will power autonomous systems that deliver insights for defense, disaster response, and global situational awareness. This is an opportunity to set the foundation for a category-defining product.

As Head of Engineering — Geospatial/Perception, you will:

• Architect and own the ML strategy for geospatial AI.
• Lead research and development of models for spatial-temporal reasoning, object detection, and anomaly detection across satellite, aerial, and IoT data streams.
• Build and mentor a high-performing team of ML engineers and researchers.
• Drive innovation in areas like geometric deep learning, multimodal fusion, and generative modeling for geospatial applications
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• Proven experience leading ML teams and setting technical direction.
• Expertise in geospatial analytics, remote sensing, or 3D perception (e.g., satellite imagery, LiDAR, GIS).
• Strong track record of deploying ML systems from research to production.
• Fluency with modern ML frameworks (PyTorch, Tensor Flow) and models for spatial data (CNNs, GNNs, transformers).
• Ability to translate strategic goals into actionable technical roadmaps.

• PhD in Computer Science, Geoinformatics, or related field.
• Background in defense, aerospace, or environmental modeling.
• Experience integrating perception models with LLMs or agent-based systems.
• Publications in top-tier ML or geospatial conferences.

• Competitive base salary (up to $260,000)
• Meaningful equity
• Autonomy to shape technical culture and direction
• Opportunity to solve high-impact problems at the intersection of AI and geospatial intelligence