Our client is a company that enables people, enterprises, and cities to harness the power of location. By making sense of the world through the lens of location, it empowers their customers to achieve better outcomes from helping a city manage its infrastructure or an enterprise optimize its assets to delivering drivers to their destination safely.

What project we have for you

This project is enhancing its Data Aggregation Service as part of a recent delivery pipeline that extends the existing UniMap (UnIM) work. The service aggregates Vehicle Probe Data (VPD) - raw sensor data collected from vehicles (not imagery) - and extracts features from it to support map alignment (VPD2 Map Alignment).

The service is polyglot: most components are JVM-based (Java, Scala, Python), but a meaningful part of the aggregation algorithms exist in C++ and C#. These algorithms are containerized (Docker) and plugged into the service so the pipeline can invoke them to process incoming vehicle sensor data. This role will focus on productionizing, maintaining, and enhancing that C++/C# algorithm layer.





This is an extension to an existing, distributed team with members based in India, the US, and Europe. The India-based hires will report to the India engineering manager and work closely with global team members across time zones - not in isolation

What you will do
- Understand, enhance, and extend existing algorithms (written in C++/C#) used to process and align vehicle probe/sensor data (VPD).
- Apply and improve approaches related to map compilation, data filtering, linear algebra, and computational geometry.
- Work on SLAM-style (Simultaneous Localization and Mapping) techniques adapted for the aggregation and map-alignment use case.
- Partner closely with engineers to ensure algorithms can be productionized and containerized correctly, clarifying algorithmic intent where needed.
- Help design test/validation datasets and success criteria for algorithm correctness.
- Collaborate with d

📌 Sr Data Scientist (India)
🏢 Intellias
📍 India