Translate product goals, field learnings, and engineering assumptions into system-level, subsystem-level, interface, and platform requirements
Identify ambiguous, incomplete, or difficult-to-validate requirements and improve clarity and traceability
Develop system-level understanding of autonomy software, robotic platforms, operational constraints, and release workflows
Define interface expectations across autonomy software, sensors, compute, and platform behavior
Improve cross-component alignment and reduce integration risk through clearer ownership and interface definitions
Establish validation criteria, release readiness expectations, and measurable acceptance thresholds
Map requirements to validation methods, metrics, scenarios, and release evidence
Review field and integration learnings to identify recurring system-level issues and convert them into reusable validation cases or requirement updates
Partner cross-functionally with Autonomy, Robotics, Hardware, Simulation, Infrastructure, and Field teams to drive alignment on system behavior and release readiness
8+ years of experience in robotics, autonomy, autonomous vehicles, mobile robots, humanoids, industrial robotics, or complex cyber-physical systems
Strong understanding of autonomy systems including perception, localization, planning, controls, sensors, compute, and platform integration
Experience defining system-level requirements, interfaces, validation criteria, or integration expectations for robotic or autonomous systems
Ability to translate engineering knowledge and field behavior into measurable requirements and release criteria
Strong systems thinking across software, hardware, operations, and deployment environments
Experience working cross-functionally with engineering teams and technical stakeholders
Strong written communication skills for requirements, interface definitions, architecture notes, and technical reviews
Experience improving systems engineering, validation, release-readiness, or reliability processes for robotics or autonomy products
Experience with fielded robotic systems operating in real-world environments
Familiarity with ODDs, validation coverage, requirements traceability, or release acceptance frameworks
Familiarity with safety, fault handling, degraded modes, hazard analysis, or operational risk
Experience with simulation, log replay, HIL/SIL testing, automated evaluation pipelines, or field-data-driven validation
Comfort operating in fast-moving environments where rigor must remain practical and execution-oriented