Amazon.com Inc logo

Member of Technical Staff - Robotics, Frontier AI Robotics

Amazon.com Inc

  • San Francisco, CA
  • 30+ days ago
    Want to know if you’re a fit?
    Upload your resume and let our AI show you.

    Skills

    • Artificial Intelligence (AI)unmatched
    • Building Systemsunmatched
    • Communication Skillsunmatched
    • Computer Systemsunmatched
    • Identify Issuesunmatched
    • International Operationsunmatched
    • Kernel Programmingunmatched
    • Machine Toolunmatched
    • Middlewareunmatched
    • Multiplatform/Cross-Platformunmatched
    • Operating Systemsunmatched
    • Process Managementunmatched
    • Python Programming/Scripting Languageunmatched
    • Resource Levelingunmatched
    • Roboticsunmatched
    • Software Portingunmatched
    • Software Prototypingunmatched
    • Strategic Planningunmatched
    • Telemetryunmatched
    • USBunmatched
    • Use Casesunmatched

    Description

    Help us build the software stack underneath Frontier AI & Robotics: the layer between hardware and the AI policies running on it. You'll work end-to-end across the stack, from bringing up sensors and actuators at the HW/SW boundary, to hardening the multi-process runtime that ties them together, to shipping the framework changes that let the rest of the team move faster.

    This is a generalist role with a real systems edge. We need someone equally at home down at the sensor and OS boundary (drivers, IPC, real-time behavior, profiling) and up in robotics application code (most of it Python). You'll spend stretches of a few days to a few weeks each on things like bringing up a new sensor at the protocol layer, chasing a flaky USB camera at the kernel boundary, generalizing the camera stack, cutting perception latency, porting code onto edge compute, or chasing a DDS/ROS 2 performance regression.

    You'll work with sharp, motivated engineers across hardware, ML research, controls, and ops on continuously changing problems at the frontier of AI and robotics. The role rewards engineers who communicate clearly, invest in cross-team relationships, and ship.

    Key job responsibilities

    • Bring up and integrate sensors, actuators, and edge compute across diverse robotics hardware platforms.
    • Build and improve the multi-process Python and ROS 2 runtime: process management, IPC, observability, lifecycle.
    • Diagnose and fix bottlenecks across the stack: middleware performance (DDS, ROS 2), perception pipeline latency, edge inference throughput, system-level resource contention.
    • Generalize one-off solutions into reusable infrastructure (camera stacks, telemetry pipelines, edge deployment tooling) that scales across hardware platforms and use cases.
    • Port code onto the constrained edge-compute platforms our robots run. Make it work, then make it work well.
    • Identify gaps in the team's velocity, whether that's a missing piece of infrastructure or a fragile sensor that nobody has time to fix, and close them.
    • Make proper tradeoffs between prototyping and production software.

    About the team

    At Frontier AI & Robotics, we"re not just advancing robotics - we"re reimagining it from the ground up. Our team is building the future of intelligent robotics through frontier foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios.

    What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon"s massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence - from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We"re building systems that don"t just work in the lab, but scale to meet the demands of Amazon"s global operations.

    Join us if you"re excited about pushing the boundaries of what"s possible in robotics, working with world-class researchers, and seeing your innovations deployed at unprecedented scale.

    Numbers & Facts

    LocationSan Francisco, CA
    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

    Similar Jobs

    See more jobs