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Mapbox is seeking a Software Development Engineer II to join the 3D Live Navigation team in Helsinki. This role focuses on developing real-time visualization systems for advanced automotive navigation, integrating high-resolution 3D lane models, real-time sensor data, environmental models, and dynamic lighting conditions.
You will develop real-time visualization of ADAS sensor data and HD lane-level navigation for the Mapbox Navigation SDK, including simulation tools for testing driving scenarios and sensor data playback. You'll assess minimum requirements for automotive solutions and align them with reference platforms. The role involves writing clean, fast C++ code to integrate various data inputs for automotive navigation systems and providing custom-tailored solutions as needed.
Key responsibilities include implementing and collaborating on new rendering and navigation features, owning full-stack development from data to navigation experience across various platforms and stacks, and fine-tuning the automotive navigation experience through profiling and debugging to extract optimal performance from customer platforms. You will work with technical counterparts at customers and partners to discover requirements, provide implementation recommendations, and debug integrations. Collaboration with internal teams ensures best practices for cross-platform API design and performance tuning for specific hardware and software combinations. The role also involves improving product performance, stability, maintainability, and simplicity.
Mapbox leverages feedback from millions of vehicles and aerial imagery to create detailed, immersive 3D navigation experiences. The platform integrates with in-vehicle sensors and ADAS to provide precise lane-level guidance, hazard warnings, and improved situational awareness, helping drivers navigate complex roads more safely and efficiently.
REQUIREMENTS:
- Broad experience in software development, customer engagements, and automotive compliance standards
- Strong technical expertise in modern and embedded C++
- Proficient in rendering with strong foundation in algorithms and performance optimization
- Strong understanding of various ADAS features (ACC, LKA, etc.) and their visual representation in displays/HMI systems
- Skilled in sensor fusion and various filtering techniques
- Experienced with build systems like CMake and Gradle, and developing frameworks/developer tools
- Excellent communication skills, capable of working effectively with distributed teams, customers, and partners; fluent in English
NICE TO HAVE:
- Automotive operating systems: AGL, AOSP, Android Automotive, QNX
- Automotive CAN bus experience
- HD mapping domain knowledge (lane level geometry, road topology, map data formats)
- Orchestration: Yocto, Docker
- Cross-platform UI toolkits like Qt or Flutter
- Experience in Kotlin, Shell Script, JavaScript, Python
