Expert Map Generation Engineer

We are looking for a Senior Map Generation Engineer to advance our online and offline mapping and localization capabilities for self-driving vehicles. In this role, you will design, develop, and deploy algorithms that dynamically generate, update, and maintain high-quality maps directly from multi-sensor data. Your work will ensure our autonomous vehicles navigate safely and reliably using generated maps, enabling robust performance in dynamic, real-world environments.

Develop and optimize mapping algorithms that fuse data from LiDAR, radar, cameras, and GNSS/IMU to generate semantic, geometric, and topological maps Collaborate with perception, prediction, and planning teams to integrate mapping outputs into the full autonomy stack

Research and apply state-of-the-art techniques in deep SLAM, neural implicit representation to support map generation

Design and implement large-scale map generation workflows, leveraging both real-world and simulated datasets

Optimize models and algorithms for deployment on automotive embedded platforms with real-time performance constraints

Work with validation and simulation teams to validate mapping and localization algorithms at scale

Drive engineering excellence by ensuring high-quality, modular, and tested code

Contribute to the research community through publications or open-source contributions in mapping and localization for autonomous driving

Do you have a Master's degree?, * MSc/PhD in Computer Science, Robotics, Electrical Engineering, or a related technical field and 5+ years of industry experience

• Strong background in localization, mapping, and SLAM (visual, LiDAR, or multi-sensor)

• Experience with deep learning-based approaches for mapping and localization (e.g., neural SLAM, implicit representations, deep visual odometry)

• Proficiency in Python and C++, with hands-on experience in ML frameworks such as PyTorch or TensorFlow

• Familiarity with 3D computer vision, geometric deep learning, and multi-sensor calibration

• Familiarity with probabilistic state estimation (Kalman filters, particle filters, graph optimization)

• Track record of bringing research concepts into production-ready solutions

• Strong problem-solving skills and ability to deliver robust algorithms under real-world conditions

Nice to have: Experience in ADAS or autonomous driving localization/mapping systems