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Exodigo is the leading underground mapping solution for non-intrusive discovery, combining multi-sensor fusion, 3D imaging, and AI technologies to create complete, accurate underground maps. The company enables confident decision-making for customers across utilities, transportation, and government sectors, including LA Metro, Caltrans, National Grid, Israel Railways, and 100+ teams worldwide. Exodigo has de-risked $75B in infrastructure investment and mapped 86.1M square feet of ground. The company closed a $96M Series B round in July 2025 and is experiencing rapid growth.
The Algorithms Team Lead role involves leading a team of engineers focused on developing and optimizing algorithms for underground mapping and 3D imaging. This position combines technical depth in algorithm design with people management, requiring the ability to mentor engineers, drive technical strategy, and deliver high-impact solutions that power the company's core mapping platform. The role sits at the intersection of computer vision, sensor fusion, machine learning, and infrastructure technology.
Responsibilities include:
- Leading and mentoring a team of algorithm engineers
- Developing and optimizing core algorithms for 3D reconstruction, sensor fusion, and underground mapping
- Collaborating with product, hardware, and infrastructure teams to translate customer needs into algorithmic solutions
- Driving technical roadmap and architecture decisions for the algorithms team
- Ensuring code quality, performance, and scalability across the platform
- Contributing to hiring and team growth as the company scales
Requirements: The posting does not specify explicit requirements such as years of experience, required skills, education, or certifications.
