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Systems Architecture Engineer Co-op (July 2021 to December 2021)

Systems Architecture Engineer Co-op

Amazon Robotics

July 2021 to December 2021

Westborough, MA or North Reading, MA


Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun.


Amazon Robotics, a wholly owned subsidiary of Amazon.com, empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas. 


This role is a 6 month co-op to join AR full time (40 hours/week) from July– December 2021.


The Amazon Robotics System Architecture group is seeking a self-motivated engineering co-op student to work with us on the design of our next-generation automated systems. Using system modeling and decision-support tools you will join a team designing innovative systems that integrate advanced robotics technologies to support Amazon business needs and enhance overall customer satisfaction. The Systems Architecture co-op will help identify relevant modeling and analysis techniques, develop or integrate multi-domain quantitative models and present results that support system-level analysis, performance trade-offs, and decision-making.

 

Responsibilities include:

  • Working with internal stakeholders to understand needs
  • Characterize design problems and developing models
  • Analyzing and presenting results to help designers better articulate drivers of system performance or value by understanding key design trade-offs. 

 

Required Qualification

  • An MS or PhD student in Engineering (AE, ME, EE, Computer Science, or Operations Research) or relevant technical field of study.
  • At least one semester of school left to complete at December 2021

 

Preferred Qualifications

  • Experience or education in systems engineering or modeling and simulation.
  • Excellent oral and written communication skills.
  • Demonstrated ability to work well in cross-functional project teams.
  • Experience formulating and developing decision-support applications, models, or simulations using Excel, MATLAB, Python, or other languages and tools.
  • A working knowledge of advanced methods for conceptual design
  • Analysis using common operations management concepts (Little’s Law, Queuing Models, Process Flow Analysis)
  • Experience or interest in requirements exploration, prioritization and analysis methods such as quality function deployment (QFD), analytical hierarchy process (AHP), morphological analysis, or design structure methods (DSM).
  • Risk and uncertainty analysis or using probabilistic design methods such as design of experiments (DOE), Monte Carlo simulation or real options analysis.
  • Experience building interactive data visualization applications for exploring multivariate data sets.

 

 

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit: https://www.amazon.jobs/en/disability/us.