Job Description
As a Sr. Simulation Engineer, you will have the unique opportunity to join a team of engineers with the purpose of designing, developing and deploying simulations and digital twins for our fulfillment and sort centers in the EU network. You are an analytical problem solver who enjoys diving into data from various businesses, is excited about investigations and algorithms, can multi-task, and can credibly interface between scientists, engineers, and business stakeholders. Your expertise in synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication will enable you to answer specific business questions and innovate for the future.
In this position, you will develop simulation models and conduct experimentation on cutting edge designs for our fulfillment and sort centers' truck yards, and apply methodologies for complex use cases to drive innovation. You will also contribute to the end state vision for simulation and experimentation of future fulfillment and sort centers' yards at Amazon. This is a blue-sky role that gives you a chance to roll up your sleeves and dive into big data sets in order to build simulations and experimentation systems at scale, build optimization algorithms, and leverage cutting-edge technologies across Amazon.
About the team
Location : Madrid – ES, Berlin – DE, London – UK, Luxembourg - LU, and more
We are seeking an experienced Simulation Engineer to work in the Amazon Customer Excellence Systems (ACES) team. We drive process innovation, stabilization, standardization and continuous improvement in the EU network. In ACES, we also support other teams such as Innovation & Engineering for Middle Mile Node Programs, to develop novel end-to-end process-centric and sustainable infrastructure concepts. This team is working against ambitious targets concerning All-in TPH, VCPP, space efficiency (shipments per sqm/cbm) and embodied carbon. The team consolidates SMEs to cover complex tasks concerning yard, under the roof (UTR) processes, MHE, container design and sustainability. Responsibilities encompass designing Yard and UTR infrastructure concepts, governing new builds or retrofits from Building Requirements Sheet to Design Reviews, and developing functional requirements.
Job ID: 2706203 | Amazon Deutschland Services GmbH
- Gather operational business requirements for truck yards; translate requirements into process-flow simulation logic or geo-spatial simulations
- Design and develop engineering solutions via simulation models for complex yard and material handling challenges considering human/equipment interactions
- Identify, design, and create data pipelines to feed simulations with input data; apply statistical analyses to create robust data for stochastic processes
- Lead and coordinate simulation efforts for process improvements; arrive at optimal solutions through equipment specification, material flow, process design, ergonomics, Associate experience, operational considerations and site layout
- Conduct what-if scenario analyses, experimentation, and simulation-optimization
- Code scripts (Java) to connect simulations (AnyLogic) with external sources and algorithms; deploy and host simulations in the cloud (e.g. AnyLogic Cloud)
- Identify and define key performance indicators (KPI); work close with team internal Subject matter Experts to analyze simulation results
- Conduct post-mortem on simulations, after implementation of new designs, in partnering with Safety and Operations
- Develop, document and update simulation standards, including standard results reports
- Create bottom-up plans for forward-looking years and execute to the goals
- Simultaneously manage multiple projects and tasks while effectively influencing, negotiating, and communicating with internal and external business partners
- Bachelor's degree in Industrial/Mechanical/Process Engineering or Master's Degree in a highly quantitative field (Computer Science, Mechanical, Industrial Engineering, Machine Learning, Operational Research, Statistics, Mathematics, etc.)
- Demonstrable simulation development experience with AnyLogic and AnyLogic Cloud
- Experience developing both agent-based and discrete-event simulations
- Experience designing & conducting experiments and performing simulation-optimization in AnyLogic (Genetic/OptQuest)
- Proficiency in Java coding and its integration with AnyLogic
- Cross-functional project management experience, preferably in process improvements initiatives
- Experience with statistical modeling and statistical-analysis tools (e.g. Minitab)
Preferred qualifications
- Master's or PhD in Statistics, Applied Math, Operations Research, Economics, or a related quantitative field with working experience as a Data or Research Scientist.
- Extensive simulation development experience with AnyLogic and AnyLogic Cloud
- Ability to construct data pipelines and build SQL queries
- Experience with other simulation software (e.g. FlexSim)
- Python coding
- Experience working as a data scientist
- Experience in process improvement, six-sigma & lean projects
- Experience building digital twins
- Experience with BI/data visualization in QuickSight
- Experience with machine learning and data mining
- Experience with AutoCAD
- Knowledge of truck and yard management environments