FieldAI Jobs

Mapping & Localization Engineer

FieldAI

Mapping & Localization Engineer

Posted 3 Days Ago

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Irvine, CA, USA

In-Office

140K-180K Annually

Mid level

Artificial Intelligence • Robotics

Transforming industrial operations through physically embodied robotic AI and superhuman autonomy.

The Role

Develop and optimize mapping and localization systems for robots, improve accuracy and performance of point cloud processing, and support collaborative efforts across robotics teams.

Summary Generated by Built In

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.

What You'll Do

Mapping & Localization

Improve ICP/GICP/NDT registration workflows

Support SLAM and localization pipelines across mapping systems

Improve scan stitching accuracy and mapping robustness

Optimize point cloud registration and alignment workflows

Improve localization performance across large-scale operational environments

Point Cloud Processing & Optimization

Improve point cloud processing performance and scalability

Support geometric optimization and scan matching workflows

Debug and improve existing mapping and localization systems

Contribute to mapping quality and operational reliability improvements

Cross-Functional Collaboration

Partner closely with mapping, robotics, and deployment teams

Support downstream processing and operational deployment workflows

Help improve deployment readiness and mapping scalability

Contribute to debugging and operational problem-solving across mapping systems

What You Bring

Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or a related technical field

3–5 years of industry or applied robotics experience

Strong experience with SLAM and localization systems

Experience with ICP/GICP/NDT registration techniques

Strong understanding of point cloud registration and scan matching

Strong modern C++ engineering skills

Experience working within production robotics or mapping environments

Strong debugging and systems-thinking capability

Ability to operate effectively in fast-moving startup environments

Ownership mentality with strong execution and problem-solving instincts

What Sets You Apart

Experience with LiDAR-based mapping systems

Experience with robotics middleware

Background in robotics, autonomy, industrial scanning, or localization systems

Familiarity with PCL (Point Cloud Library)

Experience balancing research ideas with production engineering realities

Strong operational and deployment-oriented mindset

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 statu

Skills Required

Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or a related technical field
3-5 years of industry or applied robotics experience
Strong experience with SLAM and localization systems
Experience with ICP/GICP/NDT registration techniques
Strong understanding of point cloud registration and scan matching
Strong modern C++ engineering skills
Experience working within production robotics or mapping environments
Strong debugging and systems-thinking capability
Ability to operate effectively in fast-moving startup environments
Ownership mentality with strong execution and problem-solving instincts

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The Company

HQ: Irvine, California

104 Employees

Year Founded: 2016

What We Do

FieldAI is pioneering the development of a field-proven, hardware agnostic brain technology that enables many different types of robots to operate autonomously in hazardous, offroad, and potentially harsh industrial settings – all without GPS, maps, or any pre-programmed routes.