Lead Machine Learning Engineer Visa Sponsorship Jobs in Texas
Lead machine learning engineer visa sponsorship jobs in Texas are concentrated in Austin, Dallas, and Houston, where companies like Dell Technologies, Apple, Google, Amazon, and major financial institutions actively hire. Texas's growing AI sector, anchored by university research pipelines from UT Austin and Texas A&M, makes it one of the country's most active states for sponsored ML engineering roles.
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About the Team
Our Mapping organization is building national-scale, next-generation mapping systems that move beyond static HD maps toward automated, algorithmic and ML-assisted map reconstruction pipelines powered by onboard sensor data. These systems form a critical foundation for localization, perception, simulation, and autonomy at scale.
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 GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Job Description
About the Team
Our Mapping organization is building national-scale, next-generation mapping systems that move beyond static HD maps toward automated, algorithmic and ML-assisted map reconstruction pipelines powered by onboard sensor data. These systems form a critical foundation for localization, perception, simulation, and autonomy at scale.
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 GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Lead Machine Learning Engineer Job Roles in Texas
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Search Lead Machine Learning Engineer Jobs in TexasLead Machine Learning Engineer Jobs in Texas: Frequently Asked Questions
Which companies in Texas sponsor visas for lead machine learning engineers?
Texas-based and Texas-operating employers with active sponsorship history for senior ML engineering roles include Dell Technologies, Apple (Austin campus), Amazon, Google, Meta, Oracle, AT&T, JPMorgan Chase, and a growing number of AI-focused startups in the Austin tech corridor. Healthcare systems like HCA Healthcare and energy companies running predictive analytics teams in Houston also file sponsorship petitions for lead ML engineers.
What visa types realistically apply to lead machine learning engineer roles in Texas?
The H-1B visa is the most common path, as lead machine learning engineer roles qualify as specialty occupations requiring a directly related bachelor's degree or higher. Canadian and Mexican citizens may qualify under the TN visa as engineers. The E-3 visa applies to Australian citizens, and H-1B1 visa applies to Chilean and Singaporean nationals. F-1 students may use OPT or STEM OPT if their degree is STEM-designated. EB-2 and EB-3 green card sponsorship is also common for senior ML roles.
How to find lead machine learning engineer visa sponsorship jobs in Texas?
Migrate Mate lists Texas employers with verified sponsorship history for lead machine learning engineer roles, searchable by city across Austin, Dallas, and Houston. Because ML engineering qualifies as a specialty occupation, every sponsoring employer must file an LCA with the DOL, creating a verifiable record. Migrate Mate surfaces that filing history so you can focus your applications on companies that have already demonstrated willingness to sponsor at this seniority level.
Which Texas cities have the most lead machine learning engineer sponsorship jobs?
Austin leads the state by volume, driven by its dense concentration of tech company campuses and AI startups. Dallas-Fort Worth follows, with strong demand from financial services firms, defense contractors, and enterprise software companies. Houston contributes a distinct set of opportunities in energy tech, medical AI, and logistics optimization. San Antonio has a smaller but growing footprint, particularly through cybersecurity and defense-adjacent AI work at companies with government contracts.
Are there state-specific factors that affect visa sponsorship for lead ML engineers in Texas?
Texas has no state income tax, which affects offer competitiveness and prevailing wage calculations that employers must meet under LCA requirements. The state's strong university pipeline from UT Austin, Texas A&M, and Rice produces a large local talent pool, but demand at the lead level consistently outpaces supply, keeping international sponsorship active. Texas also hosts several large H-1B-dependent employers in tech and consulting, which means some employers face additional attestation requirements when sponsoring.
What is the prevailing wage for sponsored lead machine learning engineer jobs in Texas?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.