Senior ML Engineer, Geospatial Mapping Pipelines

General Motors Company; United States; Remote; USD 171,000 - 261,000; Full time

Benefits offered by this job

Health and wellbeing benefits

GM vehicle discounts

Paid vacations and holidays

Tuition assistance

Job summary

General Motors is seeking a Senior Software Engineer for its Mapping Engineering team to design and build mapping algorithms and geospatial data systems for automated map reconstruction and maintenance. You will own geometric and topological correctness from large-scale sensor data, merging sources, and error detection before deployment to vehicles.

You will drive end-to-end problems, collaborating with Perception, Localization, and Simulation, and apply machine learning where it measurably

Qualifications

• 3+ years of software engineering experience building production systems with mapping/geospatial focus.
• Strong foundation in geospatial and computational geometry concepts.
• Experience designing geospatial data models and road network data structures.
• Hands-on ML or CV workflow in production—dataset curation, training/evaluation, deployment.
• Experience building large-scale distributed data pipelines for geospatial or sensor data.
• Proficiency in Python and C++.
• BS or MS in CS, GIS, EE, Robotics, or equivalent experience.
• Ability to own ambiguous, well-scoped technical problems end to end and drive them to production.

Responsibilities

• Design and implement mapping algorithms for map reconstruction and maintenance — lane and boundary extraction, road network graph construction, map conflation and matching, geometry simplification, and topology validation.
• Build and evolve geospatial data models for lane-level connectivity at intersections, road network graphs, and associated map attributes and restrictions.
• Develop large-scale distributed geospatial pipelines that process sensor-derived and third-party road data into production map releases on a recurring cadence.
• Apply machine learning and computer vision models — detection, segmentation, 3D reconstruction, BEV representations — to automate feature extraction and map change detection, and integrate them into production pipelines.
• Build automated quality, validation, and regression systems that catch geometric, topological, and semantic map defects before release, with clear accuracy metrics.
• Collaborate cross-functionally with Perception, Localization, Simulation, and Platform teams on interfaces, data contracts, and integration points.
• Diagnose and resolve system-level issues spanning geospatial data pipelines, algorithms, models, and production workflows.
• Contribute to design reviews, engineering best practices, and mentorship of engineers on the team.

Skills

Python

C++

Geospatial analysis

ML in production

Distributed systems

Graph algorithms

Coordinate systems

Education

BS or MS in CS, GIS, EE, Robotics

Tools

PostGIS

GeoPandas

GDAL/OGR

S2/H3

OSM

GeoJSON

Job description

General Motors is seeking a Senior Software Engineer for its Mapping Engineering team to design and build mapping algorithms and geospatial data systems for automated map reconstruction and maintenance. You will own geometric and topological correctness from large-scale sensor data, merging sources, and error detection before deployment to vehicles.

You will drive end-to-end problems, collaborating with Perception, Localization, and Simulation, and apply machine learning where it measurably