Mapping Application Engineer

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.

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.

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 ModelsTM 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.