The Map Solutions team provides AD/ADAS development with reliable access to high-quality map and geospatial data, which feeds machine learning model training, simulation, and system evaluation. We acquire, process, and maintain map data, and we build the tooling that helps teams across the company use a wide range of spatial datasets. You will join our Map Sourcing & Compilation sub-team, which prepares the map data used to develop and evaluate our next-generation driving system as it expands to urban roads.

We are looking for a senior engineer with deep expertise in map data: vendor formats, map specifications, and the fine details that determine whether a map is suitable for driving. You will lead our in-house map releases from vendor data to a verified release. You will also help grow the team’s in-house expertise as this work scales. If you enjoy taking end-to-end ownership of a pipeline end to end, and you care as much about how data is checked as how it is built, we would love to hear from you.

Lead in-house map releases for onboard (in-vehicle) development end to end: specification, conversion, verification, and delivery

Design and maintain in-house map specifications, along with the format conversion and post-processing pipelines that turn vendor data into them

Build and run quality verification that ensures data integrity, and define the checks and metrics each release must pass

Deliver ground-truth maps for offboard (non-vehicle) development, including ML labeling, simulation, and system evaluation

Manage licenses for data and software used in in-house development, such as data usage agreements, to ensure compliant use

Manage and evaluate vendor data coverage and quality against our standards

Extend the pipeline to urban roads and to new map types, such as navigation and ADAS maps, for our next-generation system

Document processes and mentor teammates so map data knowledge is shared across the team

5+ years of professional experience in software or data engineering

Experience designing and running conversion or processing pipelines for large datasets

Proficiency in at least one of Python, Rust, Go, or C++

Hands-on experience with Agile development and AI-assisted development (e.g., using AI coding tools)

Business-level English

Bachelor’s degree in computer science, geomatics, or a related field, or equivalent practical experience

3+ years of hands-on experience with HD maps, ADAS maps, or navigation maps in automotive or autonomous driving

Experience with geospatial tools and databases, such as PostGIS/SQL, GDAL/OGR, Shapely, or GeoPandas

Experience defining map specifications or data schemas, such as NDS, OpenDRIVE, Lanelet2, or vendor-specific formats

Experience preparing ground-truth maps for ML labeling, simulation, or system evaluation

Experience with Japanese map data, or Japanese language skills

Familiarity with geospatial data quality standards and metrics, such as ISO 19157

A track record of leading cross-functional work across teams and time zones, and of mentoring less experienced engineers / team members

Ability to influence stakeholders and negotiate trade-offs between data quality, coverage, cost, and schedule