Interdisciplinary Sys Engineer, GES NA Ops Engineering
Listed on 2026-06-05
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Engineering
Systems Engineer, Robotics
Interdisciplinary Sys Engineer, GES NA Ops Engineering
Job : | Services LLC
Amazon is seeking an innovative, systems-oriented Computer Vision & Automation Engineer to help design and deploy next‑generation intelligent automation solutions across global fulfillment networks. This role focuses on integrating computer vision, edge computing, and physical automation systems to enable real‑time operational intelligence, improve equipment performance, and optimize process flow.
The ideal candidate is a hands‑on interdisciplinary engineer with expertise spanning hardware systems, embedded/edge computing, and automation environments, capable of bridging the gap between science (AI/ML models) and real‑world deployment in industrial settings.
As a Computer Vision & Automation Engineer, you will partner closely with scientists, controls engineers, and operations teams to translate computer vision and AI capabilities into scalable, production‑grade systems. You will lead the development and deployment of sensor‑driven automation solutions, ensuring seamless integration across hardware, software, and control layers.
Key Responsibilities- Lead end‑to‑end deployment of computer vision‑enabled automation systems across material handling environments, from concept through production rollout
- Design and develop integrated systems combining cameras, sensors, edge compute devices, and control interfaces to enable real‑time monitoring and decision‑making
- Bridge AI/ML models with physical systems by enabling reliable data capture, processing pipelines, and low‑latency inference on industrial equipment
- Own hardware‑software integration, including device selection, network configuration, edge processing, and connectivity to cloud or on‑prem systems
- Work closely with scientists to product ionize computer vision models, ensuring robustness, scalability, and performance in live operational environments
- Develop and execute system validation strategies including test plans, field trials, and performance benchmarking under real‑world conditions
- Integrate with controls systems (e.g., PLCs, industrial protocols) to enable closed‑loop automation and actionable system responses
- Design for safety, privacy, and reliability, including implementation of safeguards such as data filtering, masking, and fail‑safe system behavior
- Collaborate with vendors and internal teams to prototype and scale custom hardware and automation solutions
- Drive standardization of architectures, deployment patterns, and engineering best practices for intelligent automation systems
- Document research, schematics, specifications, prototypes, 3D models, analysis, test plans, and strategic narratives to set the standard in organization for engineering excellence
- Communicate ideas effectively to achieve the right outcome for team and customer, seek diverse perspectives, listen to feedback, and lead the resolution of contentious issues
- Travel up to 30% across North America, with up to three weeks of consecutive travel including weekends
- 3+ years of manufacturing equipment development experience, or a Master's degree in computer science or electrical engineering
- 5+ years of hardware engineering experience
- 3+ years of systems engineering experience, or a Bachelor's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Experience with video and image processing and compression algorithms and standards, computer vision and/or machine learning
- Experience with industrial control systems, both hardware and software
- Experience in complex problem solving, and working in a tight schedule environment
- Experience working with and configuring sensors (vision, depth, etc.) and edge compute devices in industrial environments
- Hands‑on experience with cameras, sensors, embedded/edge computing platforms, or IIoT systems
- Experience with complex automated material handling equipment, packaging technologies, and high‑speed manufacturing systems
- Experience in creating products and services with hardware and software integrated
- Experience building complex…
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