Hiring Manager

Best Guess

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. We are seeking a highly detailed and technically proficient Product QA & Data Engineer to drive quality assurance and manage data delivery for our construction intelligence platform. In this dual-function role, you will be instrumental in ensuring the reliability of our software releases and the accuracy of the spatial data products delivered to our customers. Operating as the definitive quality checkpoint, you will establish rigorous testing protocols for our application while taking ownership of the final data outputs. This role requires a blend of rigorous manual testing, the development of automated testing workflows, and the meticulous verification of complex 3D scan and BIM data. What You Will Do: Own quality assurance for all software releases, serving as the final gate to ensure robust performance and mitigate regressions prior to deployment. Conduct comprehensive manual testing and engineer automated testing frameworks to consistently validate complex UI workflows and software functionality. Identify, meticulously document, and triage software defects in issue-tracking systems (e.g., Jira), providing engineering teams with reproducible test cases and precise context. Develop lightweight scripts and automation tools to streamline testing pipelines, optimize QA workflows, and enhance release consistency. Establish and enforce rigorous standards for software reliability, performance, and user experience. Own the end-to-end data quality and delivery process, ensuring all platform outputs meet strict accuracy and formatting standards before customer handoff. Inspect, validate, and verify the integrity of 3D spatial data, point cloud processing, and architectural model comparisons within the platform. Collaborate closely with engineering and data teams to resolve data-related anomalies, debug processing errors, and continuously improve data delivery pipelines. What You Bring: Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical discipline, with 2+ years of professional experience in software QA, test engineering, or data validation. Demonstrated experience testing, troubleshooting, and validating complex software systems or data processing pipelines. Hands-on proficiency with UI/UX automation and testing tools (e.g., TestComplete, Selenium, PostHog). Exceptional organizational skills with a highly systematic approach to defect tracking, root-cause analysis, and technical documentation. A strong sense of accountability and the professional confidence to uphold quality standards, including delaying software releases or data deliveries if criteria are unmet. Excellent analytical and communication skills to effectively bridge the gap between technical teams and product requirements. What Sets You Apart: Industry experience or domain knowledge in construction technology, civil engineering, surveying, or industrial mapping. Working knowledge of 3D point cloud data, spatial data formats, and Building Information Modeling (BIM). Familiarity with foundational software development languages (e.g., JavaScript, HTML, CSS) to facilitate deeper technical troubleshooting and defect localization. Applied scripting capabilities (e.g., Python, Bash) utilized to automate backend testing, data processing, or deployment workflows. A proven track record of successfully integrating automated testing suites into CI/CD pipelines.

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