Senior ML Engineer, Geospatial Mapping & Pipelines

General Motors; Austin (TX); Hybrid; USD 171,000 - 261,000; Full time

Benefits offered by this job

Health insurance

GM vehicle discounts

Paid time off

Job summary

General Motors is seeking a Senior Software Engineer to design and build mapping algorithms and geospatial data systems for automated map reconstruction and maintenance within the Mapping Engineering team.

You will own the geometric and topological correctness of map features, merge disparate sources, and detect errors before they reach vehicles, applying ML where it measurably improves accuracy and automation. This is a hands-on IC role with cross-team collaboration.

Qualifications

• 3+ years of software engineering experience building production systems with a focus on mapping, geospatial, or geometric algorithms.
• Strong foundation in geospatial and computational geometry concepts—coordinate systems and projections, spatial indexing, geometry operations, map matching, and graph algorithms on road networks.
• Experience designing geospatial data models and working with road network or map data structures (lanes, segments, intersections, topology).
• Hands-on experience with machine learning or computer vision workflows in production—dataset curation, model training or fine-tuning, evaluation, and 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 related technical field, or equivalent industry 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 ML and CV 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 concepts

Graph algorithms

Machine learning in production

Distributed data pipelines

Education

BS/MS in CS, GIS, EE, robotics, or related field

Tools

PostGIS

GeoPandas

GDAL/OGR

S2/H3

OSM

GeoJSON

Job description

General Motors is seeking a Senior Software Engineer to design and build mapping algorithms and geospatial data systems for automated map reconstruction and maintenance within the Mapping Engineering team.

You will own the geometric and topological correctness of map features, merge disparate sources, and detect errors before they reach vehicles, applying ML where it measurably improves accuracy and automation. This is a hands-on IC role with cross-team collaboration.