Interdisciplinary Sys Engineer, Global Engineering HW Solutions

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, hardware design teams, manufacturing, operations, and program managers to validate model inputs and align outputs with real-world constraints.

Communicate complex simulation results through clear visualizations, reports, and presentations for both technical and non-technical audiences.

Establish best practices for simulation model development, validation, and version control.

Contribute to system design reviews with simulation-informed insights on workcell layout, hardware integration, and process architecture. Apply systems engineering principles to analyze end-to-end manufacturing-to-installation dependencies.

Basic Qualifications

• Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
• Bachelor's degree in Science, Technology, Engineering, Math, or a related field
• 2+ years experience with discrete event simulation tools and modeling techniques for system performance analysis, using Anylogic, Flexsim or equivalent
• Strong analytical skills with the ability to interpret model output, identify failure patterns, and translate findings into design and deployment recommendations. Proficiency with statistical analysis theories and methods
• Strong written and verbal communication skills with the ability to present technical findings to cross-functional audiences including hardware designers, field teams, and business leaders

Preferred Qualifications

• Experience with complex automated material handling equipment, packaging technologies, and systems and high-speed manufacturing
• Experience coordinating between technical teams, peers and business stakeholders
• 2+ years of experience in system development engineering or NPI engineering roles
• Background in industrial automation, manufacturing operations, fulfillment center installations, or site integration projects
• Six Sigma Black Belt certification, or Master's degree in engineering or equivalent