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Map Localization Jobs in Oklahoma (NOW HIRING)

Map Localization information

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 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 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 Oklahoma? For Map Localization jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Map Localization jobs in Oklahoma look for? The top searched job categories for Map Localization jobs in Oklahoma are:

Senior Robotics & Automation Software Engineer (Lead)

Career Staffing Talent

Oklahoma City, OK • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

???? CST | Senior Robotics & Automation Software Engineer (Lead)


???? Oklahoma City, OK (On-Site) / Relocation Welcomed!

???? Partnered Search via Career Staffing Talent (CST)

???? Full-Time | Robotics | Aerospace Automation

???? Competitive Base + Bonus (DOE)


Career Staffing Talent (CST) is partnered with a next-generation robotics company deploying Robots-as-a-Service (RaaS) solutions across aerospace manufacturing and maintenance environments.


This is not a “lab role.” This is real-world robotics at scale.


We’re looking for a Lead Software Engineer to architect and deploy autonomous systems operating in mission-critical, production environments. You’ll sit at the center of perception, planning, and motion — owning systems end-to-end and helping define how these robots perform in the field.


If you’re a builder who wants to see your code move physical systems in the real world, this is worth a conversation.


All inquiries are strictly confidential.


???? What You’ll Own


• Lead development of robotic and mobile manipulator software systems operating in production environments

• Architect real-time systems across motion control, kinematics, and trajectory planning

• Build autonomy stacks — perception, localization, mapping, sensor fusion, intelligent task execution

Develop and scale ROS 2 / MoveIt pipelines (C++ / Python)

• Own full-stack integration across mechanical, electrical, and controls systems

• Optimize system performance — latency, synchronization, calibration, and reliability

• Design simulation environments, HIL testing frameworks, and telemetry pipelines

• Set the bar for engineering — code quality, CI/CD, testing, and system robustness

Mentor engineers and lead design + code reviews

• Partner with operations to deploy and support robotic systems in the field


???? What You Bring


• Bachelor’s or Master’s in CS, Robotics, Electrical/Mechanical Engineering, or related

• 4+ years building robotics, autonomy, or industrial automation systems

• Strong in modern C++ (14/17/20) and Python

Hands-on with ROS 2, MoveIt, and real-world robotic systems (manipulation or autonomy)

• Deep fundamentals: kinematics, control systems, motion planning, perception

• Experience in Linux environments with Git, CI/CD, and debugging tools

• Track record of leading technical initiatives and mentoring engineers

• U.S. Citizen or Permanent Resident (required)

• Willingness to travel (~10%)


⭐ Bonus Points


• Ph.D. in Robotics, Computer Science, or related field

• Advanced computer vision / 3D perception (SLAM, calibration, inspection pipelines)

• Field deployment experience with industrial robotic systems

• ML applied to perception, inspection, or decision-making

• Cloud / distributed systems (AWS, telemetry, OTA updates)

• Data architecture for large-scale robotics systems

• Embedded systems + industrial protocols (CAN, EtherCAT, Modbus)

• Hardware-in-the-loop (HIL) testing experience



???? Why This Role


• Your work goes from code → robot → real-world execution

• High ownership — you’re shaping systems, not maintaining them

• Direct exposure to both engineering and field operations

• Opportunity to help define next-gen autonomy in aerospace environments

• This is a high-impact seat — you won’t be another cog in the wheel; you’ll directly shape how real-world robotic systems are built, deployed, and scaled.


If this aligns — or even if you’re just curious — happy to share full details (team, roadmap, comp, technical stack).


CST | Builds teams that move the needle — not just fill seats.