Software Engineer, Test Infrastructure

FieldAI; Irvine (CA); On-site; Full time

Job summary

A robotics innovation company in Irvine is seeking a Software Engineer, Test Infrastructure to develop scalable testing systems for their platform. In this role, you'll design testing frameworks, integrate testing into CI/CD pipelines, and work closely with engineering teams to improve quality and reliability. You should have strong Python skills, knowledge of Linux environments, and at least 3 years of experience in software engineering or test infrastructure. This position offers a chance to work on real robotics projects and contribute to cutting-edge AI systems.

Qualifications

• 3+ years of experience in software engineering, test infrastructure, or automation roles.
• Strong programming skills in Python.
• Experience building testing frameworks, tools, or developer-facing systems.

Responsibilities

• Design and build scalable test infrastructure and automation systems.
• Develop frameworks for unit, integration, and system-level testing.
• Integrate testing into CI/CD pipelines and developer workflows.

Skills

Python

Debugging

Problem-solving

Linux-based development

Tools

Docker

CI/CD systems

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’re looking for a Software Engineer, Test Infrastructure to build and scale the systems that ensure the reliability of FieldAI’s robotics platform.

In this role, you will design and develop the infrastructure, tools, and automation that power testing across simulation and real‑world environments. You’ll work closely with robotics, ML, and infrastructure teams to improve software quality, reduce manual testing, and increase confidence in every release.

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.

What You'll Do

• Design and build scalable test infrastructure and automation systems
• Develop frameworks for unit, integration, and system‑level testing
• Improve reliability and coverage across simulation and real‑world validation workflows
• Build tools to support debugging, test orchestration, and failure analysis
• Partner with engineering teams to identify gaps in testing and improve quality
• Integrate testing into CI/CD pipelines and developer workflows
• Improve test reliability, reduce flakiness, and increase signal from test systems

What You Bring

• 3+ years of experience in software engineering, test infrastructure, or automation roles
• Strong programming skills in Python
• Experience building testing frameworks, tools, or developer‑facing systems
• Familiarity with Linux‑based development environments
• Strong debugging and problem‑solving skills
• Experience working closely with engineering teams on system quality

What Will Set You Apart

• Experience testing robotics, distributed systems, or infrastructure platforms
• Familiarity with simulation environments or system‑level validation
• Experience with CI/CD systems and large‑scale test automation
• Experience with containerization (e.g., Docker)
• Exposure to hardware‑software integrated systems

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.

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.