As an Interdisciplinary System Engineer within Amazon Robotics, you will own the system design and discrete event modeling that drive critical deployment and design decisions at scale. You will leverage commercial simulation tools (AnyLogic, FlexSim, or equivalent) to model complex deployment processes, identify critical-path constraints, and recommend optimized sequencing strategies that reduce cycle time and cost across Amazon Robotics programs. You will also develop workcell operational models that quantify OEE (Overall Equipment Effectiveness) metrics sensitivity to hardware components and operational exceptions, enabling rapid, data-driven design iterations in early-stage development. You will be driving design decisions using the models you develop. This role requires a unique blend of simulation expertise, systems engineering, and the ability to translate complex model outputs into actionable recommendations for cross-functional stakeholders including deployment teams, hardware engineers, and program leadership.
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Job Type
Full-time
Career Level
Mid Level