Amazon Technologies Systems Engineer - Robotic WorkCells, Reliability and Automation Engineering Team (RAE) Job at Amazon.com Services LLC, Boston, MA

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  • Amazon.com Services LLC
  • Boston, MA

Job Description

DESCRIPTION

As an Amazon Technologies Systems Engineer, you will be the primary point of contact for internal customers and partners, driving the implementation and continuous improvement of world-class maintenance, repair, and supportability solutions for Amazon's Mechatronics and Sustainable Packaging systems within Amazon’s Fulfillment Centers. You will lead cross-functional engineering and product support teams engaged in continuous improvement initiatives to enhance processes around maintenance and reliability of these systems.
You will analyze large-scale data from PLCs, sensors, controls equipment and maintenance records to identify improvement opportunities around preventative maintenance, system optimizations, reliability metrics, and overall equipment effectiveness. Utilizing this data, you will engage customers to understand and document business requirements, drive problems to root cause, and manage implementation programs for corrective actions. You will apply your expertise in robotics, mechatronics, reliability engineering and system lifecycle management to build scalable solutions that ensure optimal performance and availability of thousands of workcells across Amazon’s global fulfillment center network.

Key job responsibilities
Primary responsibilities:
- Utilize data analytics, root cause analysis, design of experiments and six sigma methods to improve reliability and availability of critical automation equipment and robotics & mechatronics systems. -
- Develop and deliver impactful data-driven analyses, based on equipment failure and downtime data to justify need for change and recommendations.
- Lead Kaizen and process improvement events, including Failure Modes and Effects Analyses (FMEA) to reduce downtime, eliminate errors and defects, and optimize overall equipment performance.
- Engage cross functional teams of maintenance technicians, engineers, product owners and leaders within RME to deliver structured problem solving.
- Design, pilot and implement new preventative maintenance standards, interval adjustments, part replacement cycles, and work instruction streamlining based on granular analysis of reliability (MTBF, MTTR, OEE, etc.) trends across assets.
- Develop automated reporting through advanced SQL and Quicksight to provide RME leadership with actionable insights, trends and analysis around equipment uptime, failures, SLA performance, and other key metrics.
- Provides guidance to maintenance teams and field technicians on equipment maintenance and complex issue troubleshooting and resolution, interacting directly with functions like Engineering, Operations, and Facilities on technical matters.
- This role will require the ability to travel up to 50%.

A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

BASIC QUALIFICATIONS

- Bachelor’s degree in Engineering, Computer Science or related technical discipline
- 3+ years’ experience in reliability engineering, manufacturing engineering, lifecycle engineering or related role, with demonstrated specialization in robotics and mechatronics.
- Lean Six Sigma experience required. Demonstrated success leading Kaizen events
- Experience coding in Python, SQL, or R for purposes of data extraction, organization, visualization and statistical analysis.

Job Tags

Full time, Temporary work, Seasonal work,

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