Robotics & Computer Vision Engineer, GES NA Ops Engineering

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 advancing physical AI and autonomous systems including SLAM-based navigation localization and autonomous decision-making in real-world environments
The ideal candidate is a hands-on interdisciplinary engineer with expertise spanning hardware systems or 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 Robotics 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 job 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 productionize 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
- Artifact (research schematics specifications prototypes 3D Models analysis test plans strategic narratives etc.) and set the standard in organization for engineering excellence.
- Able to communicate ideas effectively to achieve the right outcome for team and customer. Seek diverse perspectives listen to feedback and are willing to change direction if it creates a better outcome. Harmonize discordant views and lead the resolution of contentious issues (build consensus).
- Travel up to 30% throughout North America which can vary up to three weeks consecutive travel including weekends.


About the team
The Science & Advance Concepts (SAC) Team is responsible for optimizing material handling operations enhancing automation and driving innovation through Simulation/Emulation Data Integrity/Analysis and Pilot Development for existing first and middle mile buildings.

- 3 years of manufacturing equipment development experience or Masters degree in computer science or electrical engineering
- 5 years of hardware engineering experience
- 3 years of systems engineering experience or Bachelors 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 systems and high-speed manufacturing
- Experience in creating products and services with hardware and software integrated
- Experience building complex software systems especially involving deep learning machine learning and computer vision that have been successfully delivered to customers
- Experience in embedded wireless systems or experience in developing and deploying LLMs in production on GPUs Neuron TPU or other AI acceleration hardware
- 5 years of hardware design and validation of components subsystems and systems experience
- Experience owning end-to-end programs to drive results
- Masters or PhD in mechanical Industrial Engineering Operations or a related STEM field.
- Experience developing and supporting hardware/software systems across the product life cycle
- Background in robotics mechatronics or physical AI systems

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 for more information. If the country/region youre applying in isnt 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 WA Bellevue - 129200.00 - 174800.00 USD annually