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Mid-level Data Scientist title and 5+ years attract applicants, but specialized SLAM/C++ requirement narrows competition.
Role requires robotics/SLAM and C++ sensor-algorithm experience, limiting cross-industry transferability.
Mandatory 5+ years, strong C++ and SLAM robotics expertise make shortlisting highly selective.
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Enhance, extend, and maintain C++/C# algorithms that process and align vehicle probe/sensor data (VPD) for map alignment.
Apply SLAM (Simultaneous Localization and Mapping) techniques and improve approaches in map compilation, data filtering, linear algebra, and computational geometry.
Collaborate with global engineering teams to productionize and containerize algorithms, and design test/validation criteria for correctness.
5+ years experience in senior data science or applied research role.
Strong programming skills in C++.
Background in robotics or autonomous systems with practical experience in SLAM-based approaches.
Solid foundation in linear algebra and computational geometry for spatial/sensor data processing.
Experienced in robotics or autonomous vehicle domains working on sensor data mapping and localization algorithms.
Proven ability to work on complex algorithmic cores and transition research code into production environments.
Capable of collaborating effectively in a distributed, multi-time zone engineering team environment.