Senior Machine Learning Engineer - Mapping (Automotive)

Location: Hybrid, with attendance at least 3 times per week in Austin, Texas; Mountain View, California; Sunnyvale, California; or Warren, Michigan. Relocation benefits are available for qualifying candidates.

Salary: $170,600–$261,300 per year, plus bonus potential.

Company

hirify.global develops automotive technologies and products focused on safer, lower-emission, and more efficient transportation.

What you will do

• Design and implement mapping algorithms for lane and boundary extraction, road-network graph construction, map conflation, geometry simplification, and topology validation.
• Build geospatial data models for lane-level connectivity, intersections, road networks, restrictions, and map attributes.
• Develop distributed pipelines that transform sensor-derived and third-party road data into recurring production map releases.
• Apply machine learning and computer vision, including detection, segmentation, 3D reconstruction, and BEV representations, to automate map feature extraction and change detection.
• Build automated quality, validation, and regression systems that identify map defects before release.
• Collaborate with Perception, Localization, Simulation, and Platform teams while diagnosing system-level issues and mentoring engineers.

Requirements

• 3+ years of software engineering experience building production systems, with substantial experience in mapping, geospatial, or geometric algorithms.
• Strong knowledge of geospatial concepts, computational geometry, coordinate systems, projections, spatial indexing, map matching, and road-network graph algorithms.
• Experience designing geospatial data models and working with lanes, segments, intersections, topology, or related map structures.
• Production experience with machine learning or computer vision workflows, including dataset curation, training or fine-tuning, evaluation, and deployment.
• Experience building large-scale distributed pipelines for geospatial or sensor data, with proficiency in Python and C++.
• Bachelor’s or master’s degree in Computer Science, GIS, Electrical Engineering, Robotics, or a related technical field, or equivalent industry experience.

Nice to have

• Experience with HD maps, localization, perception, robotics, autonomous driving, or mobile robotics.
• Experience with 3D geometry, multi-view geometry, point clouds, SLAM, or camera, lidar, and radar data.
• Familiarity with map conflation, change detection, automated map QA, PostGIS, GeoPandas, GDAL/OGR, S2/H3, OSM, or GeoJSON.
• Experience deploying monitored ML models into production pipelines or mentoring engineers and leading technical projects.

Culture & Benefits

• Hybrid work arrangement with regular onsite collaboration.
• Medical, dental, vision, Health Savings Account, and Flexible Spending Account options.
• Retirement savings plan, sickness and accident benefits, life insurance, paid vacation, and holidays.
• Tuition assistance, employee assistance programs, and GM vehicle discounts.
• Relocation benefits may be available under company policy.

Hiring process

• Role-related assessments and pre-employment screening may be required.