Owns the quality, validation, and delivery of HD map data for autonomous vehicles and delivery robots. The role requires at least two years of geospatial experience, strong imagery and sensor interpretation skills, and proficiency with GIS tools and SQL.
Salary not listed
On-site2+ YOEData Analytics
About the role
Responsibilities
Interpret imagery and sensor data to extract, verify, and correct road features, including lanes, signs, signals, curbs, and crossings.
Review map data against accuracy and consistency standards, and provide clear, actionable feedback on identified issues.
Own the intake, triage, and turnaround of map requests from engineering, operations, and other teams.
Investigate map-related issues reported from the field and determine root causes.
Contribute to the definition of custom HD map formats, specifications, and quality criteria.
Help improve mapping workflows and validation processes as team size and coverage scale.
Requirements
2+ years of experience in mapping, GIS, remote sensing, or a similar geospatial role.
Strong image and sensor data interpretation skills.
Proficiency with QGIS or ArcGIS.
SQL skills for querying and validating spatial data.
Strong analytical and problem-solving skills, with sound judgment in ambiguous cases.
Exceptional attention to detail and consistency across large data volumes.
Clear written and verbal communication, with comfort coordinating with engineering teams.
Nice-to-Haves
Experience with HD maps for autonomous driving.
Knowledge of geodesy and experience working with DTM.
Python experience for geospatial data processing and automation.
Experience with Linux environments, Git, and version control.
Experience with OSM data and tools such as iD and JOSM.
Experience defining or enforcing data quality standards.
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