Simulation Engineer- Material Flow Design, Innovation, Engineering & Sustainability
Simulation Engineer- Material Flow Design, Innovation, Engineering & Sustainability
Posted on :
04-08-2025
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1 Vacancy
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Job Description
The Innovation & Engineering vision is to develop novel end-to-end process-centric and sustainable infrastructure concepts striving to meet or even exceed current True North. The 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 MHE UTR processes container design and sustainability. Responsibilities encompass designing Yard and UTR infrastructure concepts governing new builds or retrofits from Building Requirements Sheet to Design Reviews developing functional requirements with ACES and WWDE and supporting Procurement for vendor selection. Collaborating with NASC Engineering the team designs Middle Mile Nodes using infrastructural models derived from analytical work.
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. This is an opportunity to think big about how to solve a challenging problem for the customers.
As a Simulation Engineer 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. As a Simulation Engineer you will apply cutting edge designs and methodologies for complex use cases across Middle Mile network to drive addition you will contribute to the end state vision for simulation and experimentation of future Sort centers at Amazon.
Key job responsibilities
Design develop and simulate engineering solutions for complex yard and material handling challenges considering human/equipment interactions for the Last Mile network
Lead and coordinate simulation efforts for optimal solutions through equipment specification material flow process design ergonomics associate experience operational considerations and site layout
The candidate must have the ability to work with diverse customer groups to solve business problems and provide data solutions that are organized and simple to understand
Working close with team internal and external Subject Matter Experts to drive analyze simulation results
Working with technical and non-technical customers to design experiments simulations and communicate results
Develop document and update simulation standards including standard results reports
Create basic to highly advanced models and run what-if scenarios to help drive to optimal solutions
Work closely with internal teams to ensure that every detail is thought through and documented using Standard Operating Procedures and/or structured change control
Simultaneously manage multiple projects and tasks while effectively influencing negotiating and communicating with internal and external business partners
Conduct post-mortem on simulations after implementation of new designs in partnering with Safety and Operations
A day in the life
Starting from the Inbound vehicle and volume profile indicators of the to be processed volume hourly distribution is available. This is the starting point for process centric design. Working backwards from minimum manual interactions with shipments the Simulation Engineer has to create material flow concepts and evaluate them against True North processes productivity and costs. Through simulation specific business cases will be modeled by the Simulation Engineer and assessed with internal and external subject matter experts. Through simulation of alternative scenarios and identified areas to improve concepts will be validated. An in depth report including clear recommendations and actions to meet the desired state will close the loop.
About the team
Amazon couldnt deliver at pace without the Amazon Transportation Service (ATS) team. As part of ATS youll be welcomed into a diverse team that plays a central role in our success. Using air sea and road transport as well as sortation centres equipped with the latest technology youll help Amazons transport run at maximum efficiency. Our team captures data and uses it to drive decisions. They are key to making Amazon more innovative and efficient.
We put safety first as our people are our priority. And we use the expertise of our people to get packages to their destination quickly conveniently and sustainably.
Experience with data scripting languages (e.g. SQL Python R or equivalent) or statistical/mathematical software (e.g. R SAS Matlab or equivalent) Experience working as a Data Scientist Experience with statistical models e.g. multinomial logistic regression Bachelors degree in Industrial/ Mechanical/ Process Engineering A Bachelor or Masters Degree in a highly quantitative field (Computer Science Mechanical Industrial Engineering Machine Learning Operational Research Statistics Mathematics etc.) Tools: Experience in Plant Simulation FlexSim Emulate 3D Altair Hypermesh NSS AutoCAD or similar simulation tools Advanced experience in Discrete Event Simulation Coding in C and/or any scripting languages Experience in Statistics
Experience with data visualization using Tableau Quicksight or similar tools Experience managing data pipelines Experience as a leader and mentor on a data science team Masters or PhD in Statistics Applied Math Operations Research Economics or a related quantitative field with working experience as a Data or Research Scientist. Proven experience with machine learning statistical modeling data mining and analytics techniques. Proven experience with Discrete Event Simulation HTML Java or Visual Basic programming and interfacing knowledge Basic knowledge of material handling and storage systems Process improvement and facility flow experience Ability to be flexible and work independently in a fast-paced and rapidly changing environment Ability to effectively manage influence negotiate and communicate with external business partners and internal teams to meet organizational capacity needs.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect use and transfer the personal data of our candidates.
m/w/d
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
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. This is an opportunity to think big about how to solve a challenging problem for the customers.
As a Simulation Engineer 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. As a Simulation Engineer you will apply cutting edge designs and methodologies for complex use cases across Middle Mile network to drive addition you will contribute to the end state vision for simulation and experimentation of future Sort centers at Amazon.
Key job responsibilities
Design develop and simulate engineering solutions for complex yard and material handling challenges considering human/equipment interactions for the Last Mile network
Lead and coordinate simulation efforts for optimal solutions through equipment specification material flow process design ergonomics associate experience operational considerations and site layout
The candidate must have the ability to work with diverse customer groups to solve business problems and provide data solutions that are organized and simple to understand
Working close with team internal and external Subject Matter Experts to drive analyze simulation results
Working with technical and non-technical customers to design experiments simulations and communicate results
Develop document and update simulation standards including standard results reports
Create basic to highly advanced models and run what-if scenarios to help drive to optimal solutions
Work closely with internal teams to ensure that every detail is thought through and documented using Standard Operating Procedures and/or structured change control
Simultaneously manage multiple projects and tasks while effectively influencing negotiating and communicating with internal and external business partners
Conduct post-mortem on simulations after implementation of new designs in partnering with Safety and Operations
A day in the life
Starting from the Inbound vehicle and volume profile indicators of the to be processed volume hourly distribution is available. This is the starting point for process centric design. Working backwards from minimum manual interactions with shipments the Simulation Engineer has to create material flow concepts and evaluate them against True North processes productivity and costs. Through simulation specific business cases will be modeled by the Simulation Engineer and assessed with internal and external subject matter experts. Through simulation of alternative scenarios and identified areas to improve concepts will be validated. An in depth report including clear recommendations and actions to meet the desired state will close the loop.
About the team
Amazon couldnt deliver at pace without the Amazon Transportation Service (ATS) team. As part of ATS youll be welcomed into a diverse team that plays a central role in our success. Using air sea and road transport as well as sortation centres equipped with the latest technology youll help Amazons transport run at maximum efficiency. Our team captures data and uses it to drive decisions. They are key to making Amazon more innovative and efficient.
We put safety first as our people are our priority. And we use the expertise of our people to get packages to their destination quickly conveniently and sustainably.
Experience with data scripting languages (e.g. SQL Python R or equivalent) or statistical/mathematical software (e.g. R SAS Matlab or equivalent) Experience working as a Data Scientist Experience with statistical models e.g. multinomial logistic regression Bachelors degree in Industrial/ Mechanical/ Process Engineering A Bachelor or Masters Degree in a highly quantitative field (Computer Science Mechanical Industrial Engineering Machine Learning Operational Research Statistics Mathematics etc.) Tools: Experience in Plant Simulation FlexSim Emulate 3D Altair Hypermesh NSS AutoCAD or similar simulation tools Advanced experience in Discrete Event Simulation Coding in C and/or any scripting languages Experience in Statistics
Experience with data visualization using Tableau Quicksight or similar tools Experience managing data pipelines Experience as a leader and mentor on a data science team Masters or PhD in Statistics Applied Math Operations Research Economics or a related quantitative field with working experience as a Data or Research Scientist. Proven experience with machine learning statistical modeling data mining and analytics techniques. Proven experience with Discrete Event Simulation HTML Java or Visual Basic programming and interfacing knowledge Basic knowledge of material handling and storage systems Process improvement and facility flow experience Ability to be flexible and work independently in a fast-paced and rapidly changing environment Ability to effectively manage influence negotiate and communicate with external business partners and internal teams to meet organizational capacity needs.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect use and transfer the personal data of our candidates.
m/w/d
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
Key Skills
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