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.
We’re looking for a Mapping Application Engineer who can bring our 3D mapping solutions to life in the real world, owning deployment, validation, and the quality of every mapping deliverable that reaches our customers. This role is equal parts field engineering, quality assurance, and problem-solving. You'll work hands-on with robots, sensors, customers, and internal teams to ensure successful operations, serve as the final quality gate for mapping outputs, and feed real-world findings back into our systems so they become more reliable with every deployment. If you thrive in fast-paced, high-impact environments and want to see your work directly enable the future of autonomy, this is the role where you'll make it happen.
What You Get To Do
1. Mapping System Validation & Data Quality
Test and validate robotic mapping systems, spanning hardware and software, in large-scale, unstructured real-world environments.
Own QA/QC of large-scale 3D point cloud datasets prior to customer delivery, serving as the final quality gate for mapping deliverables.
Inspect, clean, align, and verify mapping outputs using professional 3D processing tools.
Identify and triage issues across sensors, mapping pipelines, and robot behavior, reproducing failures and working with engineering teams to resolve root causes.
Develop lightweight scripts and tools that improve testing, QA workflows, and data handling.
Define and uphold data quality and system reliability standards across all customer deliverables.
2. Solution Delivery & Field Operations
Own end-to-end delivery of mapping data products, including data capture, processing, quality assurance and final handoff to customers.
Provide on-site and remote support during field deployments.
Prepare and conduct technical demonstrations, pilots, and evaluations that showcase mapping capabilities to prospective and existing customers.
Manage mapping projects from kickoff through delivery, coordinating timelines, scope, and expectations across customer stakeholders and internal teams.
Translate field observations and customer feedback into actionable input for engineering teams.
Contribute to scalable deployment practices, documentation, and playbooks that make future rollouts faster and more repeatable.
What You Have
Bachelor's degree or higher in Robotics, Computer Science, Engineering, or a related technical field.
Hands-on experience in 3D mapping systems, testing and integration, or field deployment of complex technical systems.
Scripting proficiency in Python or Bash to automate testing and data workflows.
Strong troubleshooting and debugging skills spanning software, hardware, and networking layers.
Strong attention to detail and high standards for data quality and correctness.
Excellent written and verbal communication skills, with the ability to explain technical concepts clearly to non-technical users.
Self-starter mindset with the ability to manage multiple priorities and thrive in ambiguous, rapidly changing environments.
Willingness to travel and work on-site with customers as needed.
What Sets You Apart
Familiarity with LiDAR systems, geospatial data, georeferencing, and coordinate systems, or experience with survey control and calibration workflows.
Familiarity with point cloud and survey software such as CloudCompare, Leica Cyclone, Faro Scene, or Trimble RealWorks.
Experience working directly with customers in high-stakes, fast-paced settings, translating needs into technical solutions.
Experience with project management tools such as Jira, Wrike, or Confluence.
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.
