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Robotics Vision SW Engineer, Velocity

Amazon.com Inc

  • MA
  • 30+ days ago

    Highlights

    You will work closely with applied scientists, software developers, and product teams to architect, design, and implement robust software systems that enable safe and efficient operations. This role combines deep expertise in software engineering, computer vision, and robotics to solve complex challenges in real-world perception, navigation, and path planning.

    Numbers & Facts

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

    Description

    As a Software Development Engineer for Amazon Robotics, you will be at the forefront of building and deploying computer vision systems that power our robots. This role combines deep expertise in software engineering, computer vision, and robotics to solve complex challenges in real-world perception, navigation, and path planning. You will work closely with applied scientists, software developers, and product teams to architect, design, and implement robust software systems that enable safe and efficient operations. This position requires a unique blend of strong software engineering fundamentals and computer vision expertise, with a focus on transforming research concepts into production-ready, scalable solutions that operate reliably in diverse real-world environments.

    Key job responsibilities

    • Design, build, and optimize production software systems for computer vision-based perception, navigation, and planning
    • Lead the development of scalable, high-performance computer vision pipelines including model integration, inference optimization, and deployment
    • Transform research concepts into production-ready solutions that meet strict safety and performance requirements
    • Develop novel software approaches to solve complex technical challenges in perception, navigation, and planning
    • Create and implement metrics, evaluation frameworks, and testing infrastructure to measure system performance and reliability
    • Collaborate with applied scientists and engineering teams to integrate ML/CV models into the production stack

    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

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