Amazon.com Inc logo

Sr System Reliability Engineer

Amazon.com Inc
  • North Reading, MA
    22 days ago

    Job Description

    Amazon is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon"s scale. We"re building revolutionary robotic systems that combine  AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This is a unique opportunity to shape the future of robotics and automation at an unprecedented scale, working with world-class teams pushing the boundaries of what"s possible in robotic manipulation, locomotion, and human-robot interaction.

    Key job responsibilities

    As a System Reliability Engineer you will enable development of robotic solutions optimized for availability, life cycle cost and performance.

    • Provide Design for Reliability, Maintainability and Supportability guidance to new product and solutions introduction teams
    • Develop reliability models for complex electro-mechanical systems
    • Develop RAM Models for Amazon products and systems
    • Develop Failure Modes Effects Analysis
    • Develop reliability test plans and data collection strategies
    • Assess vendor reliability data
    • Advocate for the customer during the design process on failure modes, fault diagnostics and impacts to product supportability
    • Design tool kits, identify custom tools and other support mechanisms for Robotic Systems
    • Develop lifecycle support strategies and mechanisms for new products
    • Ensure supportability requirements and concerns are addressed for field launch
    • Work to identify opportunities for improved maintenance strategies
    • Develop tools, and assist with processes to expand diagnostic capabilities improve ergonomics, and reduce troubleshooting time

    Numbers & Facts

    LocationNorth Reading, MA
    IndustryRetail
    Company Size10,000 employees or more
    Year Founded1994
    Websitehttp://Amazon.com/militaryroles

    About Company

    At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

    Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

    It’s Always Day 1
    At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

    Our Leadership Principles
    Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

    Skills

    • Artificial Intelligence (AI)unmatched
    • Automationunmatched
    • Control Systemsunmatched
    • Data Analysisunmatched
    • Data Collectionunmatched
    • Electromechanical Systemsunmatched
    • Ergonomicsunmatched
    • Failure Analysisunmatched
    • Human Interactionunmatched
    • Identify Issuesunmatched
    • Mechanical Designunmatched
    • Product Supportunmatched
    • Product/Service Launchunmatched
    • Reliability Analysisunmatched
    • Reliability Engineeringunmatched
    • Reliability Testingunmatched
    • Roboticsunmatched
    • Strategic Planningunmatched
    • Systems Engineeringunmatched
    • Systems Reliabilityunmatched
    • Test Plan/Scheduleunmatched
    • Testingunmatched
    • Time Managementunmatched
    • Vendor/Supplier Evaluationunmatched

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