Robotics Systems Engineer, Reliability and Automation Engineering Team

Robotics Systems Engineer, Reliability and Automation Engineering Team (RAE) Job ID: | Amazon EU SARL (Spain Branch) - C16 As a Robotics 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 the Amazon Robotics portfolio of automated fulfillment and sortation systems. You will work with cross-functional engineering and product support teams engaged in continuous improvement initiatives to enhance processes around maintenance and reliability of these systems. You will balance business needs with technical constraints, striving to find the right solution for each customer while maintaining a strong focus on standards, scalability and supportability. You will recommend alternative technical approaches, and direct cross-functional efforts to meet aggressive timelines. You will analyze large-scale data from databases, PLCs, sensors, controls equipment, maintenance records, and other performance data streams to identify improvement opportunities around preventative maintenance, system optimizations, reliability metrics, and overall equipment effectiveness. Utilizing this data, you will engage customers via partner teams 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, data systems, reliability engineering and system lifecycle management to build scalable solutions that ensure optimal performance and availability of hundreds of thousands of robotic assets across Amazon’s global network. The ability to build productive relationships with colleagues and customers at remote sites around the world will make you successful in this role, as will patience and a sense of humor. You will frequently travel to various facilities in North America, and Europe. Key job 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. Demonstrate analytical and quantitative skills: the ability to use hard data and analysis techniques to back up assumptions and develop business cases. Develop and deliver impactful data-driven analyses, based on equipment failure and downtime data to justify need for change and recommendations. Effectively interact and collaborate with Customers, engineers, software development engineers, other Technical Program Managers and multiple internal teams to define and deliver complex solutions. 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. Drive effective teamwork, communication, collaboration and commitment across multiple disparate groups with competing priorities. Lead the effective and efficient delivery of large, complex technical projects and programs. Anticipate bottlenecks, provide escalation management, anticipate and make tradeoffs, and balance business needs with technical constraints. 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%. BASIC QUALIFICATIONS Bachelor’s degree in in a technical STEM or Engineering discipline (Industrial, Electrical, Mechanical, Civil, Computer Science, Software / Systems Development), degree in Mathematics / Statistics, or comparable scientific or technical degree from an accredited university. Experience in reliability engineering, manufacturing engineering, lifecycle engineering or related role, with demonstrated specialization in robotics and mechatronics. Industrial / robotics maintenance with equivalent experience in the mechanical or electrical fields. Ability to travel to various sites as needed, globally. 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. Experience in some or all of the following areas: Automated conveyors systems or controls, electrical and electronic principles, blueprint and electrical schematic reading, CMMS programs, preventive maintenance procedures, industrial electrical, industrial controls, industrial electronics, industrial PC literary, N.E.C. PREFERRED QUALIFICATIONS Experience in the field with Amazon Robotics equipment. Technical understanding of: robotics system components/controls, HMI components, control network components, motion control, and standard electrical components. Experience with: Databases & data pipelines, SQL optimization, development and integration of disparate data platforms / systems. Ability to understand and develop with common modern programming languages & communication protocols: python, SQL, JSON, CURL & requests, etc. Understand how to interact with and develop within AWS and similar platforms: AWS services, API Integrations, serverless computing, microservices. Understanding of: 480V 3-phase, 110 VAC, and 24VDC systems. Ability to interpret, modify, and develop drawings both mechanical and electrical. Ability to identify, maintain, and utilize SCADA systems and KPI's. Understand and critically evaluate technical systems end-to-end for strengths, weaknesses, impacts and improvements. Robust troubleshooting and data analytical skills. Ability to influence others in a technical role and interact with all levels of management. 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. 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