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MazeMap seeks a Senior Product Development Engineer to build scalable backend systems and shape both mapping and navigation engines, leveraging modern AI tooling to power smart indoors.
As an IC, you will own Python-based backend development with exposure to Java and C++, and apply AI/ML capabilities within products. You’ll work with spatial data, graph algorithms, and rigorous math, collaborating across Norway, India, and global teams.
Build and shape mapping and navigation engines, leveraging modern AI tooling and integrating AI/ML to power smart indoors.
In Mazemap we operate with a flat, low-ego engineering culture rooted in mutual trust, direct product ownership, and effective asynchronous communication. In this role, you won't just clear tickets—you'll work directly with on building the product to shape both our mapping and navigation engines and , leveraging modern AI tooling and integrating AI/ML to power the next generation of smart indoors.
Solid background focused on building scalable backend systems (no formal manager or team lead roles, though mentoring peers and juniors are welcome).
Deep, hands-on Python expertise (AsyncIO, performance tuning, microservices) alongside working knowledge of Java and exposure to C++.
Active user of AI development tools (Cursor, Copilot, Claude) and experienced in leveraging AI/ML capabilities inside products.
Proven track record with spatial data, graph algorithms, mathematical modeling, or complex computational logic.
Exceptional written and spoken English skills essential for cross-border collaboration between Norway, India, and global satellite teams.
MazeMap aims to build the future of indoor navigation. Founded in Trondheim in 2013, we are a SaaS company and recognized global market leader in indoor mapping and wayfinding for universities, hospitals, and corporate offices worldwide.
Using an in-house developed tool, we create high-quality indoor maps from floor plans, enabling features like wayfinding and resource management for large, complex buildings across Europe, ME, Australia, and the US. As we scale, we are automating map creation with smarter interfaces and machine learning.