A hybrid role at FieldAI.
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Original listing text, shown exactly as published by the company.
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Develop system-level understanding of autonomy software, robotic platforms, operational constraints, and release workflows
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Define interface expectations across autonomy software, sensors, compute, and platform behavior
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Improve cross-component alignment and reduce integration risk through clearer ownership and interface definitions
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Establish validation criteria, release readiness expectations, and measurable acceptance thresholds
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Review field and integration learnings to identify recurring system-level issues and convert them into reusable validation cases or requirement updates
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Partner cross-functionally with Autonomy, Robotics, Hardware, Simulation, Infrastructure, and Field teams to drive alignment on system behavior and release readiness
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8+ years of experience in robotics, autonomy, autonomous vehicles, mobile robots, humanoids, industrial robotics, or complex cyber-physical systems
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Strong understanding of autonomy systems including perception, localization, planning, controls, sensors, compute, and platform integration
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Experience defining system-level requirements, interfaces, validation criteria, or integration expectations for robotic or autonomous systems
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Ability to translate engineering knowledge and field behavior into measurable requirements and release criteria
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Strong systems thinking across software, hardware, operations, and deployment environments
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Experience working cross-functionally with engineering teams and technical stakeholders
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Strong written communication skills for requirements, interface definitions, architecture notes, and technical reviews
What Sets You Apart
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Experience improving systems engineering, validation, release-readiness, or reliability processes for robotics or autonomy products
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Experience with fielded robotic systems operating in real-world environments
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Familiarity with safety, fault handling, degraded modes, hazard analysis, or operational risk
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Experience with simulation, log replay, HIL/SIL testing, automated evaluation pipelines, or field-data-driven validation…
FieldAI
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