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
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
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 cameras, lidar) and serving multiple models on shared accelerators (e.g., Triton Inference Server)
Experience deploying models across heterogeneous accelerator platforms (GPU, NPU, DSP)
Experience building simulation-based or hardware-in-the-loop evaluation for perception systems
Excellent collaboration and communication skills, with the ability to work across science and engineering teams
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, MA, N.Reading - 143,700.00 - 194,400.00 USD annually
