Interdisciplinary Systems Engineer

- 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
- 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

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The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, MA, Westboro - 129,200.00 - 174,800.00 USD annually
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, 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.