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Map Localization Jobs in Houston, TX (NOW HIRING)

Strong understanding of autonomous vehicle system architecture, including perception, prediction, planning, control, localization, mapping, vehicle actuation, compute, sensing, and fleet operations

... localization, accessibility, and site functionality. * Lead the website development roadmap and ... Use funnel performance, session behavior, heat mapping, qualitative insights, and conversion data ...

... maps, meeting cadence, and measurable outcomes. * Partner with business lines and projects to ... Identify emerging suppliers, constrained markets, localization opportunities, and gaps in the ...

... maps, meeting cadence, and measurable outcomes. * Partner with business lines and projects to ... Identify emerging suppliers, constrained markets, localization opportunities, and gaps in the ...

Map Localization information

See Houston, TX salary details

$20

$44

$73

How much do map localization jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for map localization in Houston, TX is $44.16, according to ZipRecruiter salary data. Most workers in this role earn between $38.32 and $48.41 per hour, depending on experience, location, and employer.

What is map localization?

Map localization is the process of determining a device's or vehicle’s precise position within a known map or environment. It is a crucial component in robotics, autonomous vehicles, and navigation systems, allowing them to understand their location relative to their surroundings. Accurate map localization enables systems to navigate safely, avoid obstacles, and perform tasks efficiently. This process often uses sensors like GPS, LiDAR, cameras, and algorithms such as SLAM (Simultaneous Localization and Mapping).

What are the key skills and qualifications needed to thrive as a map localization engineer, and why are they important?

To thrive as a Map Localization Engineer, you need a strong background in robotics, computer vision, and algorithms, often supported by a degree in computer science, electrical engineering, or a related field. Proficiency with tools and frameworks such as ROS (Robot Operating System), SLAM (Simultaneous Localization and Mapping), and programming languages like C++ and Python is typically required. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for collaborating on complex projects and debugging localization systems. These skills are crucial for developing accurate and reliable localization solutions that enable autonomous navigation and mapping in real-world environments.

What are some common challenges faced by professionals working in map localization roles?

Professionals in map localization often encounter challenges such as managing the accuracy of real-time data from multiple sources and ensuring that maps remain up-to-date with constantly changing environments. Additionally, working with large volumes of geospatial data requires strong analytical and technical skills, especially when integrating information from LiDAR, GPS, and camera systems. Collaboration with cross-functional teams, such as software developers and robotics engineers, is essential to solve localization issues and to deliver reliable navigation solutions. Staying current with advances in localization algorithms and mapping technologies is also important for ongoing success in this field.

What is the difference between Map Localization vs GIS Technician?

AspectMap LocalizationGIS Technician
Required CredentialsGPS, GIS, or mapping software certificationsGIS certifications, degree in geography or related field
Work EnvironmentFieldwork, outdoor mapping, mobile devicesOffice-based, desktop GIS software
Employer & Industry UsageNavigation apps, autonomous vehicles, outdoor mappingUrban planning, environmental management, utilities
Search & Comparison IntentUnderstanding field mapping rolesTechnical GIS data management

Map Localization focuses on real-time positioning and navigation, often in outdoor or mobile environments, using GPS and mapping tools. GIS Technicians handle spatial data analysis, map creation, and GIS software management primarily in office settings. While both roles involve geographic data, Map Localization emphasizes field-based positioning, whereas GIS Technicians focus on data processing and map development.

What are popular job titles related to Map Localization jobs in Houston, TX?

For Map Localization jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Map Localization jobs in Houston, TX look for?

The top searched job categories for Map Localization jobs in Houston, TX are:

What cities near Houston, TX are hiring for Map Localization jobs?

Cities near Houston, TX with the most Map Localization job openings:

Infographic showing various Map Localization job openings in Houston, TX as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $91,853 per year, or $44.2 per hour.

Autonomous Robotics Software Engineer (Robotics / Autonomy / C++)

Houston, TX β€’ On-site

Advanced Robotics Group, LLC
Internet and ITΒ β€’Β 11 - 50 employees

Other

Medical, Vision, PTO

Posted 11 days ago


Job description

Job Overview

At Advanced Robotics Group, we develop fully autonomous robotic systems for complex industrial environments where GPS is unavailable, communications are unreliable, conditions change constantly, and failure is not an option.

Our engineers work at the intersection of robotics, autonomy, computer vision, software engineering, and large-scale data systems. This role is focused on solving open-ended technical challenges: enabling robotic platforms to perceive their surroundings, localize and navigate independently, make intelligent decisions, and operate reliably in the real world.

As an Autonomous Robotics Software Engineer, you will design and develop the software that enables our robotic platforms to operate autonomously. You will contribute to localization, mapping, navigation, perception, system integration, and autonomy architecture while working with a small, highly capable engineering team to solve some of the most demanding problems in industrial robotics. The ideal candidate is a strong software engineer, systems thinker, and relentless problem solver who enjoys difficult challenges, thrives in ambiguity, and takes satisfaction in seeing their ideas deployed in real‑world autonomous systems.

If you're the type of engineer who enjoys building things that others say can't be done, we'd like to talk.

Key Responsibilities
  • Design and implement autonomous capabilities for high-performance robotic platforms.
  • Develop algorithms for localization, mapping, SLAM, state estimation, motion planning, and navigation.
  • Build perception and multi-sensor fusion solutions that enable robust environmental understanding.
  • Integrate sensing, planning, and control systems into cohesive autonomy frameworks.
  • Design and execute simulation and real-world testing to validate reliability and performance.
  • Develop production‑quality software from prototype through deployment.
  • Extend and integrate open‑source robotics frameworks with proprietary technologies.
  • Collaborate closely with software, electrical, mechanical, and field engineering teams to deliver fully integrated systems.
  • Solve technically challenging problems that directly impact safety, operational efficiency, and real-world deployments.
Qualifications
  • BS, MS, or PhD in Computer Science, Robotics, Computer Engineering, or a related technical field.
  • Proven experience designing and developing robotics software and delivering complex technical projects.
  • Strong software engineering fundamentals, including architecture, testing, debugging, and code quality.
  • Experience with localization, mapping, SLAM and state estimation techniques.
  • Experience with path planning, motion planning, perception and navigation algorithms.
  • Experience designing and integrating complex systems.
  • Experience with ROS, ROS 2 or similar robotics middleware.
  • Advanced proficiency in modern C++ and performance optimization techniques.
  • Strong problem‑solving skills and system‑level thinking.
  • Ability to work independently on open-ended engineering challenges.
  • Demonstrated ability to learn and apply new technologies quickly.
  • High level of professional integrity and confidentiality.
Preferred Backgrounds
  • 5+ years of robotics software development experience.
  • Experience deploying robotics systems in real‑world environments.
  • Experience with CI/CD pipelines and automated testing.
  • Experience with embedded systems or real-time software development.
  • Experience with robotics simulation environments.
  • Hands‑on experience with robotic platforms and field testing.
  • Experience with computer vision, sensor fusion, or machine learning applications in robotics.
  • Familiarity with Linux development environments, distributed software architectures and modern software development workflows.
Work Environment

This is a full‑time, on‑site position located in Houston, Texas. The role requires close collaboration with software, electrical, mechanical, and field engineering teams and supports rapid iteration, peer review, hardware integration, and hands‑on system testing. The position involves a combination of software development, laboratory testing, and direct interaction with robotic platforms in a professional R&D environment.

What We Offer
  • Competitive compensation based on experience.
  • Stock option participation.
  • Company‑paid medical, vision, and disability coverage.
  • Paid holidays and PTO.
  • Daily team lunches and a stocked kitchen.
  • Modern 14,000 square‑foot R&D facility in Houston.
  • Opportunity to work on cutting‑edge autonomous robotics systems with real‑world impact.
  • Small, highly technical team environment where individual contributions matter.
  • Established, well‑funded organization with more than a decade of robotics and analytics innovation.
Who Will Succeed Here
  • Enjoys solving difficult technical problems with no obvious answer.
  • Thrives in small teams where ownership and accountability are expected.
  • Prefers building real systems that operate outside of laboratory conditions.
  • Comfortable balancing research, experimentation, and production‑quality engineering.
  • Communicates effectively and collaborates across disciplines.
  • Takes initiative and continuously pursues technical growth.
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