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python deep learning autonomous vehicles dijkstra graph theoryπ Description
- Develop onboard map update algorithms for dynamic scenes (construction zones).
- Implement real-time map updates from sensor data under tight performance constraints.
- Collaborate with Motion Planning, Localization, and Fleet Intelligence teams for map integration.
- Contribute to safety cases for modern ML methods to meet safety standards.
- Use graph-centric and geometric algorithms for lane geometry and driveable surfaces.
π― Requirements
- Proficiency in C++ for production-grade software.
- Proficiency in Python for algorithm development and testing.
- Strong 3D geometric reasoning for mapping data.
- Solid understanding of graph theory and algorithms like Dijkstra's.
π Benefits
- Annual bonus, equity compensation, and benefits.
- Hybrid work environment with in-office 3 days per week.
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