Amazon co-ops across all seasons are full-time positions, and interns and Co-Ops should expect to work in office, Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. Students should not have conflicts such as classes or other employment during the Amazon work-day.

Applicants must be currently enrolled in a co-op program at their school in the US, and should have a minimum of one quarter/semester/trimester remaining in their studies after their co-op concludes. By applying to this position, your application will be considered for all Hardware Development Engineering Co-Op roles at all locations we hire for in the United States including but not limited to: Greater Seattle Area (Seattle, Bellevue, Redmond), Greater Bay Area (San Francisco, Sunnyvale, Santa Clara), Greater DMV (DC, MD, VA), Greater Boston Area (Boston, North Reading), Greater Los Angeles Area (Los Angeles, Pasadena, Northridge), Detroit (MI), San Diego (CA).

You will be able to provide your preference of location and start date during the application process but, we cannot guarantee that we can meet your selection based on several factors including but not limited to the availability and business needs of this role. Finalization on the location and start dates available will be provided to you at the time of job offer.

As an Industrial Design Engineer you will engage with an experienced cross-disciplinary staff to conceive and design innovative consumer products. You will work closely with an internal inter- disciplinary team, to design and develop physical fulfillment systems around the globe. You must be responsive, flexible and able to succeed within an open collaborative peer environment.

You will design, develop, test, and deliver components including workflow/process path layout, space utilization/efficiency and ergonomics, etc. You’ll collaborate with your team and peers to deliver projects and artifacts like AutoCAD files with specifications, design frameworks, mathematical models, RFPs. You’ll identify and communicate any issues associated with the design, development, implementation, and optimization of fulfillment-center technologies or design solution.

Key job responsibilities
• Design, develop, test and deliver solutions (e.g., workflow/process path layout, space utilization/efficiency, ergonomics, etc.).
• Use appropriate technologies (e.g., AutoCAD, Rhino, Revit, SolidWorks, CREO, SketchUp, KeyShot, BIM360 etc.) to deliver high quality, operationally excellent models and design (e.g., safety, high quality, and performance) that meet the needs of the customer.
• Identify and communicate any issues associated with the design, development, implementation, and optimization of fulfillment-center technologies or design solution.
• Invent, develop, and refine solutions to ensure they are meeting customer, business, operational, technology, and team goals.
• Understand business impact of designs and show good judgement when making design suggestions, ensuring they meet performance and scaling targets. • Technical report writing of process and best practices.

A day in the life
As an intern or co-op, you will be matched to a manager and a mentor. You will have the opportunity to influence the evolution of Amazon technology and lead mission critical projects early in your career. Your design, code, and raw smarts will contribute to solving some of the most complex technical challenges in the areas of distributed systems, data mining, automation, optimization, scalability, and security – just to name a few.
In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in activities with other interns/co-ops throughout your internship/co-op. No matter the location of your internship/co-op, we give you the tools to own your project and learn in a real-world setting. Many of our technologies overlap, and you would be hard pressed to find a team that is not using Amazon Web Services (AWS), touching the catalogue, or iterating services to better personalize for customers. We make the impossible, possible.