FieldAI

Product QA & Data Engineer

Posted 16 Hours Ago

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Irvine, CA, USA

In-Office

Junior

Artificial Intelligence • Robotics

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

The Role

Lead QA for software releases, perform manual and automated UI testing, triage and document defects, build lightweight test automation scripts, ensure end-to-end data quality for 3D spatial/point cloud and BIM outputs, and collaborate with engineering and data teams to resolve processing issues and improve pipelines.

Summary Generated by Built In

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

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 take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience.

Why Join Field AI?

We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our 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 Mission Viejo (Irvine adjacent), Southern California and have US based and global teammates.

Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!

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.

Skills Required

Bachelor's degree in Computer Science, Engineering, Data Science, or related technical discipline
2+ years professional experience in software QA, test engineering, or data validation
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)
Strong organizational skills for defect tracking, root-cause analysis, and technical documentation
Accountability to enforce quality standards, including delaying releases or deliveries when criteria are unmet
Excellent analytical and communication skills to bridge technical teams and product requirements
Industry experience 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 JavaScript, HTML, and CSS for troubleshooting and defect localization
Applied scripting capabilities (Python, Bash) to automate backend testing, data processing, or deployment workflows
Experience integrating automated testing suites into CI/CD pipelines

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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.