About the Role
The role involves researching and building scalable solutions for online mapping, with a focus on real-time data processing, sensor fusion, and high-precision localization in complex environments.
Responsibilities
- Design and implement algorithms for real-time map updates
- Develop systems that integrate LiDAR, radar, and camera inputs
- Improve accuracy of vehicle localization using live sensor data
- Optimize mapping pipelines for low-latency performance
- Collaborate with perception and planning teams to align mapping outputs
- Analyze field data to identify mapping inconsistencies
- Build tools for visualizing and debugging map states
- Ensure robustness of mapping in diverse weather and lighting
- Work on versioning and conflict resolution for dynamic maps
- Support simulation environments with realistic map representations
- Evaluate system performance under edge-case scenarios
- Contribute to software architecture for distributed mapping
- Maintain high data integrity across map updates
- Integrate machine learning models into mapping workflows
- Develop anomaly detection for unexpected environmental changes
- Support deployment of mapping systems in test fleets
- Refine coordinate frame transformations across sensors
- Optimize storage and transmission of map data
- Ensure compliance with safety and reliability standards
- Collaborate on field testing and data collection efforts
- Document technical designs and system behavior
- Troubleshoot issues in production mapping pipelines
- Stay current with advancements in spatial computing
- Contribute to code reviews and system testing
- Work across time zones with global engineering teams
Nice to Have
- PhD with focus on robotics or spatial AI
- Prior work on HD mapping systems
- Experience with large-scale mapping infrastructure
- Publications in robotics or computer vision venues
- Contributions to open-source mapping projects
- Familiarity with regulatory aspects of autonomous vehicles
- Experience with multi-agent mapping systems
- Knowledge of semantic mapping techniques
- Background in geospatial data standards
- Experience in a startup or fast-growth tech environment
Compensation
Competitive salary and equity package
Work Arrangement
Hybrid work model with office and remote flexibility
Team
Collaborative team focused on advancing autonomous vehicle technologies
About the Team
This team focuses on creating high-definition, real-time maps that enable autonomous vehicles to navigate safely and efficiently. Work spans algorithm development, system integration, and field validation.
What You’ll Achieve
You will build systems that allow vehicles to continuously update their understanding of the environment, enabling safer and more reliable operations in complex urban settings.
Visa sponsorship available for qualified candidates
