Software Development Engineer II

Amazon.com Services LLC; North Reading (MA); Presencial; USD 140.000 - 210.000; Jornada completa

Descripción de la vacante

Amazon.com Services LLC is seeking a Software Development Engineer to build the next generation of intelligent robotics systems. You will partner with perception, SLAM, and navigation scientists to integrate models into the onboard software, optimize for real-time performance on embedded GPUs, and help push the boundaries of robotic dexterous manipulation and safe human-robot collaboration.

The role involves turning research prototypes into production-grade, observable components, and creating

Formación

• Bachelor's degree in CS, EE, Robotics or related field.
• Experience with robotics middleware (ROS2, etc.) and perception/vision software.
• 4+ years in CS, ME, EE or related field experience.
• Experience deploying ML models on embedded/edge GPUs (Jetson).
• Proficient in Python and/or C++.

Responsabilidades

• Integrate perception, SLAM, and navigation models into the on-robot software stack.
• Optimize deep learning models and CV pipelines for real-time inference on embedded GPUs.
• Profile latency, throughput, and memory from sensor input to model output.
• Develop and maintain evaluation datasets, metrics, and regression gates.
• Write design docs and experiment reports communicating tradeoffs and results.

Conocimientos

Python

C++

ROS2

Embedded GPUs

Computer Vision

Perception

Educación

Bachelor's degree in CS/EE/Robotics

Master's degree or PhD (preferred)

Herramientas

NVIDIA Jetson

TensorRT

ONNX Runtime

CUDA

NVIDIA Nsight Systems

Nsight Compute

Descripción del empleo

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.

At 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.

We are building the brains of our next-generation robots - a stack that:

• Enables deployment of robots at Amazon scale
• Enables unprecedented generalization across diverse tasks
• Seamlessly integrates with large models and optimal control techniques
• Integrates with human-safe safety solutions

As 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.

Join us in building the next generation of intelligent robotics systems that will transform the future of automation and human-robot collaboration.

Key job responsibilities

• Partner 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
• Optimize 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
• Profile 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
• Build 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
• Build 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
• Make perception components production-ready with versioning, configuration, health monitoring, and telemetry, and debug failures observed on real robots
• Write design documents and experiment reports that clearly communicate tradeoffs, results, and limitations to science, engineering, and program stakeholders

Basic Qualifications:

• Knowledge of Python and/or C++ programming
• 4+ years in CS, ME, EE or related field experience
• Experience with robotics middleware like ROS2, ZCM, Zenoh, etc.
• Experience developing or integrating perception, computer vision, SLAM, or navigation software for robots or other real-world embedded systems
• Experience 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
• Experience with test driven development (TDD) in robotics software

Preferred Qualifications:

• Master's degree or PhD in Robotics, CS, EE, or a related field, with a focus on computer vision or machine learning
• Experience partnering with applied scientists to take research models from prototype to production, including improving their performance on real-world data
• Experience with 3D perception and state estimation, such as stereo depth, visual or visual-inertial odometry, SLAM, mapping, or localization
• Experience integrating perception into navigation or autonomy stacks (e.g., ROS 2, Nav2, occupancy or costmap generation)
• Experience 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
• Experience with multi-camera and multi-sensor pipelines (e.g., GMSL ca)