Product QA & Data Engineer

FieldAI; Irvine (CA); On-site; USD 90,000 - 140,000; Full time

Job summary

Field AI is seeking a detail-oriented Product QA & Data Engineer to ensure quality across software releases and the accuracy of spatial data products. You will own QA, build automated tests, and validate 3D spatial data and BIM outputs for a construction intelligence platform.

The role requires 2+ years in software QA or data validation, proficiency with UI automation tools, and strong documentation skills. Irvine, CA-based team offers collaborative, fast-paced growth opportunities.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical discipline with 2+ years of professional software QA, test engineering, or data validation experience.
• 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 systematic approach to defect tracking, root-cause analysis, and technical documentation.
• Strong accountability and confidence to delay releases if criteria are unmet.
• Excellent analytical and communication skills to bridge gaps between technical teams and product requirements.

Responsibilities

• Own QA for all software releases, ensuring robust performance and mitigating regressions prior to deployment.
• Conduct manual testing and engineer automated testing frameworks to validate complex UI workflows and software functionality.
• Document and triage defects in Jira with reproducible test cases and precise context.
• Develop lightweight scripts and automation tools to streamline testing pipelines and release processes.
• Establish standards for software reliability, performance, and user experience.
• Own end-to-end data quality and delivery, ensuring platform outputs meet accuracy and formatting standards before handoff.
• Inspect and verify 3D spatial data, point cloud processing, and BIM model comparisons within the platform.
• Collaborate with engineering and data teams to resolve data-related anomalies and improve data delivery pipelines.

Skills

QA testing

UI automation

Data validation

Technical documentation

Education

Bachelor’s degree in CS/Engineering/Data Science

Tools

TestComplete

Selenium

PostHog

Job description

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).

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. Witha 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.