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Salary
$135k – $170k per year
Location
Remote/Hybrid (Irvine, United States)
Seniority
Middle · 3+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
FieldAI is a robotics company that builds embodied AI and autonomy software, marketed as a general-purpose robot brain, that lets mobile robots operate safely in unstructured real-world environments, headquartered in Irvine, California. Founded in 2023 by a team with backgrounds at NASA JPL, DeepMind, Tesla, NVIDIA and Amazon, it reports production deployments on three continents for customers in construction, energy, manufacturing, mining and federal markets. Its openings are mostly for robotics autonomy, perception and mapping engineers, machine learning and ML platform engineers, embedded, electrical and mechanical hardware engineers and infrastructure software roles.

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

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