Robotics System Engineer

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