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Map Localization Jobs in Irvine, CA (NOW HIRING)

FieldAI

Senior Software Engineer, ROS Engineer

Irvine, CA · On-site

$180K - $250K/yr

You will focus on designing, implementing, and optimizing perception, localization, and control ... Develop and maintain ROS/ROS2 packages for robotic autonomy, including navigation, mapping, and ...

FieldAI

Senior Software Engineer, ROS Engineer

Irvine, CA · On-site

$180K - $250K/yr

You will focus on designing, implementing, and optimizing perception, localization, and control ... Develop and maintain ROS/ROS2 packages for robotic autonomy, including navigation, mapping, and ...

Slope

Lead Product Sourcing Engineer

Costa Mesa, CA · On-site

$146 - $194/hr

... localization. What You'll Do * Lead and manage a team of supply chain professionals, providing ... Conduct value‑stream mapping to optimize supply network lead time and flexibility. * Complete the ...

New

Medium

Staff Software Engineer - Federal

Irvine, CA · On-site

$70 - $300/hr

You will focus on designing, implementing, and optimizing perception, localization, and control ... Develop and maintain ROS/ROS2 packages for robotic autonomy, including navigation, mapping, and ...

New

FieldAI

Product QA & Data Engineer

Irvine, CA · On-site

... or industrial mapping. * Working knowledge of 3D point cloud data, spatial data formats, and ... Our Field Foundational Models™ set a new standard in perception, planning, localization, and ...

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All JobsMap Localization JobsMap Localization Jobs in Irvine, CA

Map Localization information

See Irvine, CA salary details

$23

$49

$82

How much do map localization jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for map localization in Irvine, CA is $49.64, according to ZipRecruiter salary data. Most workers in this role earn between $43.08 and $54.42 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 Irvine, CA?

For Map Localization jobs in Irvine, CA, the most frequently searched job titles are:

What job categories do people searching Map Localization jobs in Irvine, CA look for?

The top searched job categories for Map Localization jobs in Irvine, CA are:

What cities near Irvine, CA are hiring for Map Localization jobs?

Cities near Irvine, CA with the most Map Localization job openings:

Map Localization jobs near you
Infographic showing various Map Localization job openings in Irvine, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $103,243 per year, or $49.6 per hour.

Senior Software Engineer, ROS Engineer

FieldAI

Irvine, CA • On-site

$180K - $250K/yr

Full-time

Re-posted 26 days ago

Job description

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.

As a ROS Developer, you will play a critical role in developing advanced robotic applications built on our autonomy API for diverse real-world industries, including oil & gas, construction, and mining. You will focus on designing, implementing, and optimizing perception, localization, and control modules using ROS/ROS2 to create production-grade software for autonomous systems operating in some of the world's harshest environments. This role is ideal for engineers passionate about sensor integration, robust system development, and deploying scalable autonomy solutions tailored to high-impact industrial applications.
What You Will Get To Do
  • Develop and maintain ROS/ROS2 packages for robotic autonomy, including navigation, mapping, and control.
  • Integrate and calibrate multi-modal sensors (LiDAR, thermal, RGB, GPS, IMU) for use in autonomous missions.
  • Help in building autonomy APIs that allow modular interfacing with SLAM, path planning, and mission logic.
  • Implement and optimize real-time data processing pipelines using C++ and Python.
  • Collaborate with perception engineers on integrating AI-driven insights for robotic decision-making.
  • Design and test autonomous behavior on physical platforms in real-world field scenarios.
  • Troubleshoot robotic systems at the hardware-software interface and develop diagnostics and recovery systems.
What You Have
  • Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or a related technical field.
  • Strong software engineering skills, with proven experience building production-quality robotics applications.
  • Expertise in C++ and Python, writing clean, efficient, and maintainable code using modern best practices.
  • Hands-on experience developing with ROS/ROS2, including designing, building, and deploying custom nodes into complex robotic systems. 
  • Solid understanding of localization, SLAM, sensor fusion, and navigation systems. 
  • Familiarity with sensor integration (LiDAR, thermal, RGB, depth, GPS, IMU) and multi-modal data handling.
  • Practical experience with state estimation frameworks and real-time data processing pipelines. 
  • Comfortable working with system-level topics like networking, inter-process communication (IPC), and middleware.
  • Strong problem-solving skills and attention to detail, able to work independently while managing multiple priorities.
  • Highly self-motivated, with excellent written and verbal communication skills and a strong collaborative mindset.
What Will Set You Apart
  • Experience deploying robotic software in production environments (construction, mining, oil & gas, or similar industries).
  • Familiarity with noisy sensor data and building robust, resilient algorithms.
  • Experience integrating robotic systems with web services, APIs, and cloud infrastructure.
  • Background in working with computationally constrained platforms and optimizing for real-time performance.
$180,000 - $250,000 a year

Our salary range is highly competitive with the market, but we take into consideration an individual's background and experience in determining final salary. Base pay offered may vary depending on geographic location, job-related knowledge, skills, and experience.

In addition to competitive compensation, FieldAI offers comprehensive benefits, equity participation, and the opportunity to contribute to cutting-edge advancements in AI and robotics.

Our salary range is generous and we consider each individual's background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.
 
Why Join FieldAI in Irvine?
In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.
You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.
 
Be Part of the Next Robotics Revolution
We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.
 
Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like.
 
We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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