Senior Simulation Engineer, Innovation and Design Engineering
Amazon.com, Inc, Abertawe
Senior Simulation Engineer, Innovation and Design Engineering
Salary Not Specified
Amazon.com, Inc, Abertawe
- Full time
- Permanent
- Onsite working
Posted today, 9 Jan | Get your application in now to be one of the first to apply.
Closing date: Closing date not specified
job Ref: c9c30533cebc4e1d9daac221b5ab5e66
Full Job Description
The Worldwide Innovation and Design team delivers innovative, effective and efficient automation solutions that continually improve our customers' experience. We are seeking a Senior Simulation Engineer who will work with our hardware development engineers to create Discrete-Event Simulations for technologies in our Last Mile (AMZL) network. The insights given from this digital experimentation will enable processes and mechanical designs to be optimized early in the product life cycle to achieve success in deployment., Successful candidates will be visionary technical expert and natural self-starter who have the drive to apply simulation and optimization tools to digitally experiment with technologies considering their mechanical design and process needs. The Simulation Engineer is expected to deep dive into complex problems and drive relentlessly towards innovative solutions working with cross functional teams. Be comfortable interfacing and influencing various functional teams and individuals at all levels of the organization in order to be successful. Lead strategic modelling and simulation projects related to drive process design decisions.,
- Lead the design, implementation, and delivery of the simulation data science solutions to perform system of systems discrete event simulations for significantly complex operational processes that have a long-term impact on a product, business, or function using FlexSim, Emulate 3D, AnyLogic or any other Discrete Event Simulation (DES) software packages
- Lead strategic modeling and simulation research projects to drive process design decisions
- Be an exemplary practitioner in simulation science discipline to establish best practices and simplify problems to develop discrete event simulations faster with higher standards
- Identify and tackle intrinsically hard process flow simulation problems (e.g., highly complex, ambiguous, undefined, with less existing structure, or having significant business risk or potential for significant impact
- Deliver artifacts that set the standard in the organization for excellence, from process flow control algorithm design to validation to implementations to technical documents using simulations
- Be a pragmatic problem solver by applying judgment and simulation experience to balance cross-organization trade-offs between competing interests and effectively influence, negotiate, and communicate with internal and external business partners, contractors and vendors for multiple simulation projects
- Provide simulation data and measurements that influence the business strategy of an organization. Write effective white papers and artifacts while documenting your approach, simulation outcomes, recommendations, and arguments
- Lead and actively participate in reviews of simulation research science solutions. You bring clarity to complexity, probe assumptions, illuminate pitfalls, and foster shared understanding within simulation data science discipline
- Pay a significant role in the career development of others, actively mentoring and educating the larger simulation data science community on trends, technologies, and best practices
- Use advanced statistical /simulation tools and develop codes (python or another object oriented language) for data analysis , simulation, and developing modeling algorithms
- Lead and coordinate simulation efforts between internal teams and outside vendors to develop optimal solutions for the network, including equipment specification, material flow control logic, process design, and site layout
- Deliver results according to project schedules and quality A day in the life A day in the life of a Senior Simulation Engineer works backwards from a goal of digitally validating a technology: you work with Hardware Development Engineers in your team to understand a new technology and decide: What needs to be tested on this design, what is the best simulation method, how can I set up the Design of Experiment and how do I clearly summarize the results. You will work on numerous projects in different areas of the business therefore a wide range of tools in your simulation toolbox is desired. About the team You will be within the "System Integration & Performance" team within Innovation & Design Engineering. Innovation & Design's overall goal is to find, test and improve new technologies for application within Amazon's last mile logistics. We focus on mechatronics technologies (Robots, Conveyors, Sorters) and how they can level up our process. The System Integration and Performance team has 4 Pillars: Data Analytics, Simulation, Physical Validation and Integration. These 4 pillars work together to act as a toolbox for our Hardware Developers to drive design changes based on accurate data and test methods.
- PhD, or Master's degree and quantitative field simulation experience
- Experience communicating simulation findings to drive business decisions
- Investigating the feasibility of applying scientific principles and concepts to business problems and products experience Preferred Qualifications
- Experience converting research studies into tangible real-world changes
- Experience with discrete and continuous optimization methodologies and algorithms
- Experience of industrial processes
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 (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
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