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Map Localization Jobs in Irvine, CA (NOW HIRING)

Senior Robot Perception Engineer

Irvine, CA · On-site +1

$70K - $300K/yr

Develop robust localization and mapping capabilities that perform reliably in unstructured, off-road, and field conditions. * Continuously evaluate and improve perception performance through testing ...

Develop robust localization and mapping capabilities that perform reliably in unstructured, off-road, and field conditions. * Continuously evaluate and improve perception performance through testing ...

Develop robust localization and mapping capabilities that perform reliably in unstructured, off-road, and field conditions. * Continuously evaluate and improve perception performance through testing ...

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 ...

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 ...

... 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 ...

Showing results 21-40

Map Localization information

See Irvine, CA salary details

$23

$49

$82

How much do map localization jobs pay per hour?

As of Sep 14, 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:

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.

Robotics AI Engineer - Sensor Calibration

Irvine, CA • On-site

FieldAI
201 - 500 employees

Other

Re-posted 10 days ago


Job description

Robotics AI Engineer - Sensor Calibration

About Field AI

Field AI is at the forefront of robotic embodied AI, transforming industries like construction, security, mining, and manufacturing. Our autonomous robots operate globally, often in harsh environments, delivering critical insights to customers. Whether monitoring construction progress, ensuring safety compliance, or conducting predictive maintenance, Field AI is advancing technology to make a meaningful impact.

Learn more at https://fieldai.com.

About the Job

Field AI is seeking a Robotics AI Engineer to help advance the sensor calibration systems that power our autonomous robots. As a member of our Calibration, Localization, and Mapping (CLAM) team, you will work alongside a highly focused group of engineers developing production-grade calibration pipelines for complex multi-sensor robotic platforms. Your work will span camera, LiDAR, IMU, and other sensor modalities, contributing to intrinsic, extrinsic, and temporal calibration workflows that enable reliable perception in real-world environments. Depending on your experience and interests, you'll improve automated calibration tooling, optimize large-scale sensor data processing, and develop robust calibration algorithms that support our downstream localization, mapping, and autonomy systems. The ideal candidate combines a strong foundation in robotics, computer vision, and 3D geometry with the practical engineering skills needed to build scalable, maintainable software in a fast-paced, collaborative environment.

What You Get To Do
  • Develop and refine sensor calibration workflows for various sensor modalities (e.g., LiDAR, cameras, IMUs), including intrinsic, extrinsic and temporal calibration in online and offline settings.
  • Design and implement scalable systems to manage and process large sensor datasets for calibration purposes, ensuring high reliability and performance.
  • Implement and optimize algorithms in C++ and Python, maintaining a clean and organized code base.
  • Explore and integrate emerging technologies and tools to enhance sensor calibration workflows.
  • Collaborate with cross-functional teams to meet project-specific documentation requirements and deliverables.
What You Have
  • Master's degree in Computer Science, Engineering, or a related field.
  • 2+ years of work experience as a robotics software engineer, with expertise in robotics, computer vision and sensor calibration.
  • Proficiency in C++ and Python, with a proven ability to write maintainable and efficient code.
  • Solid background knowledge of 3D geometry and computer vision.
  • Solid understanding of sensor calibration techniques (e.g., camera intrinsic calibration, LiDAR-Camera calibration, multi-sensor extrinsic calibration).
  • Hands-on experience with sensor data processing tools and libraries such as PCL, Open3D, OpenCV, Kalibr, etc.
  • Familiarity with Robot Operating System (ROS) and software development practices in Ubuntu.
  • Familiarity with backend optimization tools and libraries such as Ceres, GTSAM, g2o.
  • Strong problem-solving skills, attention to detail, and able to work independently while managing multiple priorities.
  • Strong work ethic, highly self-motivated, and excellent written and verbal communication skills.
The Extras That Set You Apart
  • Ph.D. in Computer Science, Engineering, or a related field.
  • Research experience with publications in top-tier conferences or journals related to robotics, computer vision or machine vision.
  • Familiarity with factory-level calibration procedures and tooling for high-volume product lines (e.g., drones, autonomous vehicles, AR/VR devices).
  • Hands-on experience calibrating hundreds of camera intrinsics or camera-LiDAR systems at scale, including automated or semi-automated workflows.

Why Join Field AI?

We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.

You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.

Be Part of the Next Robotics Revolution

To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.

We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates.

We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

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