General Motors

Senior Machine Learning Engineer - Mapping

General Motors • $170K — $261K *
Sunnyvale, CA 94087In-Person
Information Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 3+ years of experience in software engineering focused on mapping and geospatial algorithms
  • Strong knowledge in geospatial and computational geometry, such as road networks and graph algorithms
  • Proven skills in designing geospatial data models and working with map data structures
  • Experience with machine learning or computer vision workflows in a production environment
  • Ability to develop large-scale distributed data pipelines for geospatial or sensor inputs
  • Proficiency in Python and C++ for software development
  • BS or MS in Computer Science, GIS, Electrical Engineering, Robotics, or related fields, or equivalent experience

Responsibilities

  • Design and implement algorithms for map reconstruction and maintenance
  • Build and evolve data models for lane-level connectivity and road networks
  • Develop distributed pipelines to process sensor-derived and third-party road data
  • Integrate machine learning and computer vision for feature extraction and map detection
  • Establish automated systems for validating map integrity and accuracy
  • Collaborate with cross-functional teams on data contracts and integrations
  • Diagnose and resolve issues within geospatial data pipelines and workflows
  • Mentor engineers and contribute to design reviews and best practices

Benefits

  • Comprehensive medical, dental, and vision insurance
  • Health Savings Account (HSA) and Flexible Spending Accounts (FSA)
  • Retirement savings plan
  • Life insurance and accident benefits
  • Paid vacation and holidays
  • Tuition assistance programs
  • GM vehicle discounts
  • Employment assistance program
Full Job Description
Job Description

The Role

We are looking for a Senior Software Engineer to design and build the mapping algorithms and geospatial data systems behind automated map reconstruction and maintenance within our Mapping Engineering team.

In this role, you will develop the algorithms and data models that reconstruct, conflate, validate, and maintain map primitives - lanes, lane connectivity, road network graphs, boundaries, traffic controls, and signs - from large-scale multi-modal sensor data. You will own the geometric and topological correctness of the map itself: how features are represented, how disparate sources are merged, and how errors are detected before they reach the vehicle.

This is a hands-on individual contributor role with strong ownership. You will drive technical problems end to end, partner closely with Perception, Localization, and Simulation, and apply machine learning where it measurably improves accuracy, coverage, or automation rate.

What You'll Do (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.


Minimum Qualifications (Must-Have)
  • 3+ years of software engineering experience building production systems, with a substantial portion focused on mapping, geospatial, or geometric algorithms.
  • Strong applied foundation in geospatial and computational geometry concepts - coordinate systems and projections, spatial indexing, geometry operations, map matching, and graph algorithms on road networks.
  • Demonstrated 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 workflow 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 Computer Science, GIS, Electrical Engineering, Robotics, or a related technical field, or equivalent industry experience.
  • Ability to own ambiguous, well-scoped technical problems end to end and drive them to production.

Preferred Qualifications (nice to have)
  • Experience with HD maps, localization, perception, or robotics systems, particularly in autonomous driving or mobile robotics.
  • Hands-on experience with 3D geometry, multi-view geometry, point cloud processing, or SLAM.
  • Familiarity with AV sensor data (camera, lidar, radar) and real-world data challenges such as noise, drift, and long-tail scenarios.
  • Experience with map conflation, change detection, or automated map QA at national or global scale.
  • Experience with geospatial tooling and formats (PostGIS, GeoPandas, GDAL/OGR, S2/H3, OSM, GeoJSON).
  • Experience deploying ML models into production pipelines with monitoring, validation, and iteration loops.
  • Experience mentoring engineers or acting as a technical lead on a project.
  • 3+ years of software engineering experience building production systems, with a substantial portion focused on mapping, geospatial, or geometric algorithms.


Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
  • The salary range for this role is $170,600.00 to $261,300.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.


Benefits:
  • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.Relocation benefits are available for candidates who qualify under company policy.

About General Motors

General Motors Company engages in the manufacture and sale of cars and trucks in the United States, China, Brazil, Germany, the United Kingdom, Canada, and Italy. It offers sedans, crossovers, sport utility vehicles, pick-up trucks, coupes, sports/convertibles and hybrid vehicles, hatchbacks/wagons, and vans, as well as mini cars in India. The company also provides parts and accessories, such as iPod and MP3 compatibility, mobility accessories, performance parts, AC parts and services, and merchandise. In addition, it offers vehicle safety, security, and information services. The company provides used vehicles. It offers its products through dealers and distributors. General Motors Company was formerly known as NGMCO, Inc. and changed its name to General Motors Company in July 2009. The company was incorporated in 2009 and is based in Detroit, Michigan. It operates manufacturing facilities in India, the United States, and Canada. General Motors Company operates as a subsidiary of the United States Department of The Treasury. General Motors led global vehicle sales for 77 consecutive years from 1931 through 2007, longer than any other automaker, and is currently among the world's largest automakers by vehicle unit sales. General Motors acts in most countries outside the USA via wholly-owned subsidiaries but operates in China through 10 joint ventures. GM's OnStar subsidiary provides vehicle safety, security, and information services. In 2009, General Motors shed several brands, closing Saturn, Pontiac, and Hummer, and emerged from a government-backed Chapter 11 reorganization. In 2010, GM made an initial public offering IPOs to date and returned to profitability later that year.

General Motors Careers

Join the dynamic team at General Motors, a global leader in automotive innovation and technology. At General Motors, we offer unparalleled job opportunities that propel your career forward while contributing to a legacy of engineering excellence.

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Embark on a career with General Motors to drive the future of mobility. Our team is dedicated to redefining the automotive landscape through innovation and leadership in electric vehicles and sustainable solutions. By joining us, you will be part of a culture that values diversity, teamwork, and continuous professional growth.

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Join Our Global Team

As part of our global workforce, you will collaborate with talented individuals who are passionate about shaping the future of transportation. General Motors offers a variety of career paths in engineering, design, IT, marketing, and more. With over 155,000 employees worldwide, our network provides expansive opportunities for networking and professional development.

Internship Programs and Employment Benefits

Start your career journey with a General Motors internship, where you can apply your academic knowledge to real-world projects. Our internships provide a robust foundation in the automotive industry, with mentorship from experienced leaders. Full-time employees enjoy a wealth of benefits, including comprehensive health care, retirement plans, and performance bonuses, ensuring that your hard work is rewarded.

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Learn more about General Motors
Size
157,000 employees
Market Cap
$46.9 billion
Industry
Manufacturing & Automotive
Net Income
$6.4 billion
Founded
1908
5 Year Trend
-3.2%
Revenue
$122.4 billion
NASDAQ
GM
* Ladders Estimates

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