Amazon.com Services LLC
Technology
InterdisciplinarySysEngineer,GlobalEngineeringHWSolutions
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Interdisciplinary Sys Engineer, Global Engineering HW Solutions at Amazon.com Services LLC. Skills: Hardware Engineering, System Design. Design and develop hardware solutions. Define system architecture”
Industry & Context.
Identify and mitigate hardware risks
What They're Looking For.
Must Have
Bachelor's degree in a relevant field, 5+ years of experience in hardware engineering, Experience with system-level design, Experience with hardware validation
Nice to Have
Master's degree or PhD, Experience with cloud infrastructure, Experience with AI/ML hardware acceleration
What You'll Do.
Design and develop hardware solutions
Define system architecture
Develop and execute hardware validation plans
Collaborate with cross-functional teams
Identify and mitigate hardware risks
Drive hardware innovation
How You'll Work.
Team & Collaboration
Cross-functional teams; Hardware and software teams
Full Job Description
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. Key job responsibilities - Own end-to-end discrete event simulation (DES) development using AnyLogic, FlexSim, or equivalent software to model deployment processes, workcell operations, and system-level workflows across Amazon Robotics programs. - Identify critical path constraints through simulation analysis, providing data-driven recommendations to reduce deployment cycle time and cost while maintaining quality and safety standards. - Develop optimized deployment sequencing strategies by modeling scenarios and trade-offs to inform resource allocation, task ordering, and contractor scheduling decisions. - Build workcell operational models with OEE sensitivity analysis against hardware components, operational exceptions, and process variability. - Conduct scenario analysis to project hardware design change impacts on OEE metrics, quantify uncertainty, and reduce costly physical prototyping cycles. - Partner cross-functionally with deployment engineers
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