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Field AI

Industry:
Robotics
Location:
Job Type:
IT
Software Engineer, Test Infrastructure
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.
Job Responsibilities:

  • 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

    • Job Requirements:

  • 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

    • Bonus Qualifications:

  • 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

    • Apply on Field AI Website
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