1 day ago
North Reading, MA, USAMid Level
H1B sponsor
Base Salary
$144k - $194k/yr
Responsibilities
- Integrate perception, SLAM, and navigation models and algorithms into Amazon’s on-robot software stack.
- Optimize deep learning models and computer vision pipelines for real-time inference on embedded GPUs using quantization, pruning, graph optimization, and inference-engine tuning.
- Profile and reduce perception latency, throughput, and memory use across sensor input, model execution, and output.
- Build efficient multi-camera and multi-sensor data paths with zero-copy and hardware-accelerated processing.
- Own evaluation datasets, metrics, and regression gates across offline, simulation, and hardware-in-the-loop testing.
- Make perception components production-ready through versioning, configuration, health monitoring, telemetry, and real-robot debugging.
- Write design documents and experiment reports communicating technical tradeoffs, results, and limitations.
Requirements
- Knowledge of Python and/or C++ programming.
- At least 4 years of experience in computer science, mechanical engineering, electrical engineering, or a related field.
- Experience with robotics middleware such as ROS2, ZCM, or Zenoh.
- 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, such as NVIDIA Jetson, using TensorRT, ONNX Runtime, or CUDA.
- Experience with test-driven development in robotics software.
- Preferred: a master’s degree or PhD in robotics, computer science, electrical engineering, or a related field focused on computer vision or machine learning.
- Preferred: experience taking research models from prototype to production, working with 3D perception and state estimation, integrating perception into navigation or autonomy stacks, and building simulation-based or hardware-in-the-loop evaluations.
- Preferred: experience with model compression and quantization, GPU profiling, multi-camera and multi-sensor pipelines, shared accelerators, heterogeneous accelerator platforms, and strong cross-functional communication.
Benefits
- Comprehensive health coverage including medical, dental, vision, prescription, Basic Life and AD&D insurance, and optional supplemental life plans.
- Employee assistance and mental health support, medical advice line, flexible spending accounts, and adoption and surrogacy reimbursement coverage.
- 401(k) matching, paid time off, and parental leave.
- The package may include sign-on payments and restricted stock units; final compensation depends on experience, qualifications, and location.
- Work location: USA, Massachusetts, North Reading.
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.