3.7 Software Quality Assurance Engineer

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.

Field AI is seeking a rigorous and diligent Software Quality Assurance Engineer to play a vital role in the development of highly-advanced robotic and AI systems, by ensuring that the software products meet the highest standards of quality and functionality. The role involves developing and implementing test processes, methodologies, and tools to identify any software issues and regressions. Your contribution is essential to reliably deliver the products to customers and enhance the company value. This is a unique career opportunity to join a rapidly growing company and contribute to the success of enterprise clients in a dynamic, fast-paced environment.

• Test planning
• Design comprehensive test plans to fulfill the standards and requirements of software products.
• Develop test cases by outlining objectives, scopes, criteria, and procedures.

• Test execution
• Execute test procedures, either manually or automatically, including unit test, functional test, and system test.
• Develop and run tests based on simulation tools and test data.
• Operate hardware platforms to execute integration tests on a real robot.

• Test framework
• Design and implement best practices and standards for QA workflow for highly-dynamic fast-paced projects.
• Coach and share best practices with teach team member on quality assurance processes and best practices.

• Test automation
• Develop and maintain tools to automate QA pipeline.
• Develop testbeds for hardware in the loop testing.
• Develop CI/CD systems to allow rapid and reliable software releases.

• Security compliance
• Ensure the software products and processing pipelines adhere to any compliance and regulatory requirements

• User acceptance testing
• Design, implement, and execute testing of user-facing systems including but not limited to web applications.
• Plan and execute tests to ensure the timely delivery of high-quality reports to the clients.

• Deployment Support
• Collaborate with the operations team and triage issues in the field deployment.
• Analyze and effectively communicate issues to the deployment team.

• Performance tracking and analysis
• Measure the performance of the robotic autonomy and data pipeline.
• Track performance over time and identify the domain to improve.

• Reporting and cross-functional collaboration
• Collaborate closely with software developers, project managers, and the operations team to define clear and comprehensive test objectives.
• Document test plans, protocols, and results to be used as a future reference.

• Bachelor’s degree in Engineering or a related field.
• 4+ years of experience in projects relevant to robotics, AI, and computer science/engineering.
• 4+ years experience in the software quality assurance process, either in robotics or a relevant field.
• Proficiency (MUST) in Bash, Python, C++, Git, Linux, ROS
• Exceptional written and verbal communication skills, with the ability to engage stakeholders at all levels.
• Strong problem-solving skills and experience navigating complex software systems.
• Ability to effectively collaborate with technical and non-technical team members across functional areas.
• Strong work ethic, highly self-motivated, and able to work independently while managing multiple priorities.
• Proven ability to Strong analytical skills to interpret data and make data-driven decisions.
• Knowledge of quality assurance best practices and a commitment to continuous improvement.

• Experience with CI/CD, AWS, CUDA, Docker

Compensation and Benefits

Our salary range is generous ($70,000 - $300,000 annual), but 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.  Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

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, martial status, mental or physical disability, or any other legally protected status.