$155K – $185K/yr
Pay vs market · Bottom quarter
This job's pay ($152,500 a year at the midpoint) is higher than about 15% of 2,602 salary-listed Software Engineer jobs in United States in the last 12 months; their median is $210,569.
Role overview
Job description
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
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
The Extras That 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
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 status.
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About this listing
- Source: FieldAI's official careers site · still listed there on 10 Nov 2026
- Posted 2 Apr 2026
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Role market pulse
How Software Engineer demand looks in United States
Live jobs
3,479
Posted 30d
2,643
30d movement
+490%
Remote share
26%
Salary listed
83.6%
Salary trend 1Y
Not enough history
What they are looking for
Skills & requirements
Department · Engineering
Hiring company
FieldAI
FieldAI is the leader in deploying general-purpose robots in unstructured environments, providing a universal brain that works across many robots, and many tasks.
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