{"schemaVersion":"jobsearcher.job.v1","id":"b3e00ebc0521092704faab39","url":"https://jobsearcher.com/jobs/b3e00ebc0521092704faab39","canonicalUrl":"https://jobsearcher.com/jobs/b3e00ebc0521092704faab39","title":"Software Development Engineer II","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 cutting-edge 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 dexterous manipulation, locomotion, and human-robot interaction. This role presents an opportunity to shape the future of robotics through innovative applications of the latest software and AI tools for robots.\r\nAt Amazon we leverage advanced robotics, machine learning, and artificial intelligence to solve complex operational challenges at an unprecedented scale. Our fleet of robots operates across hundreds of facilities worldwide, working in sophisticated coordination to fulfill our mission of customer excellence.\r\nWe are building the brains of our next-generation robots - a stack that:\r\nEnables deployment of robots at Amazon scale\r\nEnables unprecedented generalization across diverse tasks\r\nSeamlessly integrates with large models and optimal control techniques\r\nIntegrates with human-safe safety solutions\r\nAs a Software Development Engineer on our on-robot software team, you will partner closely with applied scientists and engineers working on perception, localization and mapping (SLAM), and navigation to integrate their models and algorithms into the robot's onboard software, make them run in real time on embedded GPUs, and measurably improve their performance on real robot data. You will work at the boundary between science and engineering: turning research prototypes into fast, reliable, and observable on-robot components, and building the evaluation loops that show whether a change actually made the robot better.\r\nJoin us in building the next generation of intelligent robotics systems that will transform the future of automation and human-robot collaboration.\r\nKey job responsibilitiesPartner with perception, SLAM, and navigation scientists and engineers to integrate their models and algorithms (e.g., stereo depth, object detection and segmentation, visual-inertial odometry, mapping, and localization) into the on-robot software stack\r\nOptimize deep learning models and computer vision pipelines for real-time inference on embedded GPUs, using techniques such as quantization, pruning, graph optimization, and inference-engine tuning\r\nProfile and reduce end-to-end perception latency, throughput, and memory use from sensor input to model output, including when multiple models share the same GPU\r\nBuild efficient multi-camera and multi-sensor data paths, including zero-copy and hardware-accelerated pre- and post-processing, together with sensor-interface and model-serving owners\r\nBuild and own evaluation datasets, metrics, and regression gates (precision, recall, accuracy, latency) across offline, simulation, and hardware-in-the-loop testing, and use them with science partners to drive measurable accuracy improvements\r\nMake perception components production-ready with versioning, configuration, health monitoring, and telemetry, and debug failures observed on real robots\r\nWrite design documents and experiment reports that clearly communicate tradeoffs, results, and limitations to science, engineering, and program stakeholders\r\nBasic Qualifications:Knowledge of Python and/or C++ programming\r\n4+ years in CS, ME, EE or related field experience\r\nExperience with robotics middleware like ROS2, ZCM, Zenoh, etc.\r\nExperience developing or integrating perception, computer vision, SLAM, or navigation software for robots or other real-world embedded systems\r\nExperience deploying and optimizing machine learning models for real-time inference on embedded or edge GPUs (e.g., NVIDIA Jetson), using tools such as TensorRT, ONNX Runtime, or CUDA\r\nExperience with test driven development (TDD) in robotics software\r\nPreferred Qualifications:Master's degree or PhD in Robotics, CS, EE, or a related field, with a focus on computer vision or machine learning\r\nExperience partnering with applied scientists to take research models from prototype to production, including improving their performance on real-world data\r\nExperience with 3D perception and state estimation, such as stereo depth, visual or visual-inertial odometry, SLAM, mapping, or localization\r\nExperience integrating perception into navigation or autonomy stacks (e.g., ROS 2, Nav2, occupancy or costmap generation)\r\nExperience with model compression and quantization (post-training and quantization-aware, INT8/FP8, pruning, distillation) and GPU profiling tools such as NVIDIA Nsight Systems or Nsight Compute\r\nExperience with multi-camera and multi-sensor pipelines (e.g., GMSL ca)#J-18808-Ljbffr","company":"Amazon.com Services","rawCompany":"amazoncom services","city":"North Reading","state":"MA","isRemote":false,"isActive":false,"createdAt":"2026-10-14T01:32:40.986Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"17-2199.08","title":"Robotics Engineers","slug":"robotics-engineers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Development Engineer II","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 cutting-edge 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 dexterous manipulation, locomotion, and human-robot interaction. This role presents an opportunity to shape the future of robotics through innovative applications of the latest software and AI tools for robots.\r\nAt Amazon we leverage advanced robotics, machine learning, and artificial intelligence to solve complex operational challenges at an unprecedented scale. Our fleet of robots operates across hundreds of facilities worldwide, working in sophisticated coordination to fulfill our mission of customer excellence.\r\nWe are building the brains of our next-generation robots - a stack that:\r\nEnables deployment of robots at Amazon scale\r\nEnables unprecedented generalization across diverse tasks\r\nSeamlessly integrates with large models and optimal control techniques\r\nIntegrates with human-safe safety solutions\r\nAs a Software Development Engineer on our on-robot software team, you will partner closely with applied scientists and engineers working on perception, localization and mapping (SLAM), and navigation to integrate their models and algorithms into the robot's onboard software, make them run in real time on embedded GPUs, and measurably improve their performance on real robot data. You will work at the boundary between science and engineering: turning research prototypes into fast, reliable, and observable on-robot components, and building the evaluation loops that show whether a change actually made the robot better.\r\nJoin us in building the next generation of intelligent robotics systems that will transform the future of automation and human-robot collaboration.\r\nKey job responsibilitiesPartner with perception, SLAM, and navigation scientists and engineers to integrate their models and algorithms (e.g., stereo depth, object detection and segmentation, visual-inertial odometry, mapping, and localization) into the on-robot software stack\r\nOptimize deep learning models and computer vision pipelines for real-time inference on embedded GPUs, using techniques such as quantization, pruning, graph optimization, and inference-engine tuning\r\nProfile and reduce end-to-end perception latency, throughput, and memory use from sensor input to model output, including when multiple models share the same GPU\r\nBuild efficient multi-camera and multi-sensor data paths, including zero-copy and hardware-accelerated pre- and post-processing, together with sensor-interface and model-serving owners\r\nBuild and own evaluation datasets, metrics, and regression gates (precision, recall, accuracy, latency) across offline, simulation, and hardware-in-the-loop testing, and use them with science partners to drive measurable accuracy improvements\r\nMake perception components production-ready with versioning, configuration, health monitoring, and telemetry, and debug failures observed on real robots\r\nWrite design documents and experiment reports that clearly communicate tradeoffs, results, and limitations to science, engineering, and program stakeholders\r\nBasic Qualifications:Knowledge of Python and/or C++ programming\r\n4+ years in CS, ME, EE or related field experience\r\nExperience with robotics middleware like ROS2, ZCM, Zenoh, etc.\r\nExperience developing or integrating perception, computer vision, SLAM, or navigation software for robots or other real-world embedded systems\r\nExperience deploying and optimizing machine learning models for real-time inference on embedded or edge GPUs (e.g., NVIDIA Jetson), using tools such as TensorRT, ONNX Runtime, or CUDA\r\nExperience with test driven development (TDD) in robotics software\r\nPreferred Qualifications:Master's degree or PhD in Robotics, CS, EE, or a related field, with a focus on computer vision or machine learning\r\nExperience partnering with applied scientists to take research models from prototype to production, including improving their performance on real-world data\r\nExperience with 3D perception and state estimation, such as stereo depth, visual or visual-inertial odometry, SLAM, mapping, or localization\r\nExperience integrating perception into navigation or autonomy stacks (e.g., ROS 2, Nav2, occupancy or costmap generation)\r\nExperience with model compression and quantization (post-training and quantization-aware, INT8/FP8, pruning, distillation) and GPU profiling tools such as NVIDIA Nsight Systems or Nsight Compute\r\nExperience with multi-camera and multi-sensor pipelines (e.g., GMSL ca)#J-18808-Ljbffr","datePosted":"2026-10-14T01:32:40.986Z","dateModified":"2026-10-14T01:32:40.986Z","hiringOrganization":{"@type":"Organization","name":"Amazon.com Services","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"North Reading","addressRegion":"MA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b3e00ebc0521092704faab39"},"url":"https://jobsearcher.com/jobs/b3e00ebc0521092704faab39"}}