{"schemaVersion":"jobsearcher.job.v1","id":"0f9b5fbf9e2cf34363aaf133","url":"https://jobsearcher.com/jobs/0f9b5fbf9e2cf34363aaf133","canonicalUrl":"https://jobsearcher.com/jobs/0f9b5fbf9e2cf34363aaf133","title":"Robotics & Computer Vision Engineer, GES NA Ops Engineering","description":"DESCRIPTION\nAmazon 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\nThe 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.\nAs 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.\n\nKey job responsibilities\n\nLead end-to-end deployment of computer vision-enabled automation systems across material handling environments, from concept through production rollout\nDesign and develop integrated systems combining cameras, sensors, edge compute devices, and control interfaces to enable real-time monitoring and decision-making\nBridge AI/ML models with physical systems by enabling reliable data capture, processing pipelines, and low-latency inference on industrial equipment\nOwn hardware-software integration, including device selection, network configuration, edge processing, and connectivity to cloud or on-prem systems\nWork closely with scientists to productionize computer vision models, ensuring robustness, scalability, and performance in live operational environments\nDevelop and execute system validation strategies including test plans, field trials, and performance benchmarking under real-world conditions\nIntegrate with controls systems (e.g., PLCs, industrial protocols) to enable closed-loop automation and actionable system responses\nDesign for safety, privacy, and reliability, including implementation of safeguards such as data filtering, masking, and fail-safe system behavior\nCollaborate with vendors and internal teams to prototype and scale custom hardware and automation solutions\nDrive standardization of architectures, deployment patterns, and engineering best practices for intelligent automation systems\nArtifact (research, schematics, specifications, prototypes, 3D Models, analysis, test plans, strategic narratives, etc.) and set the standard in organization for engineering excellence.\nAble 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).\nTravel up to 30% throughout North America, which can vary up to three weeks consecutive travel including weekends.\n\nAbout the team\nThe 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.\nBASIC QUALIFICATIONS\n3+ years of manufacturing equipment development experience, or Master's degree in computer science or electrical engineering\n5+ years of hardware engineering experience\n3+ years of systems engineering experience, or Bachelor's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field\nExperience with video and image processing and compression algorithms and standards, computer vision and/or machine learning\nExperience with Industrial control systems, both hardware and software\nExperience in complex problem solving, and working in a tight schedule environment\nExperience working with and configuring sensors (vision, depth, etc.) and edge compute devices in industrial environments.\nHands-on experience with cameras, sensors, embedded/edge computing platforms, or IIoT systems\nPREFERRED QUALIFICATIONS\nExperience with complex automated material handling equipment, packaging technologies, and systems and high-speed manufacturing\nExperience in creating products and services with hardware and software integrated\nExperience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers\nExperience in embedded wireless systems, or experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware\n5+ years of hardware design and validation of components, subsystems and systems experience\nExperience owning end-to-end programs to drive results\nMaster’s or PhD in mechanical, Industrial Engineering, Operations, or a related STEM field.\nExperience developing and supporting hardware/software systems across the product life cycle\nBackground in robotics, mechatronics, or physical AI systems\n\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\n\nOur 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.\n\nThe 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.\n\nUSA, WA, Bellevue - 129,200.00 - 174,800.00 USD annually","company":"Amazon.com Services","rawCompany":"amazoncom services","city":"Seattle","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-08-04T15:56:40.734Z","occupations":[{"code":"17-2199.08","title":"Robotics Engineers","slug":"robotics-engineers"},{"code":"17-2199.05","title":"Mechatronics Engineers","slug":"mechatronics-engineers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541330","title":"Engineering Services","slug":"engineering-services"},{"code":"333248","title":"All Other Industrial Machinery Manufacturing","slug":"all-other-industrial-machinery-manufacturing"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Robotics & Computer Vision Engineer, GES NA Ops Engineering","description":"DESCRIPTION\nAmazon 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\nThe 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.\nAs 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.\n\nKey job responsibilities\n\nLead end-to-end deployment of computer vision-enabled automation systems across material handling environments, from concept through production rollout\nDesign and develop integrated systems combining cameras, sensors, edge compute devices, and control interfaces to enable real-time monitoring and decision-making\nBridge AI/ML models with physical systems by enabling reliable data capture, processing pipelines, and low-latency inference on industrial equipment\nOwn hardware-software integration, including device selection, network configuration, edge processing, and connectivity to cloud or on-prem systems\nWork closely with scientists to productionize computer vision models, ensuring robustness, scalability, and performance in live operational environments\nDevelop and execute system validation strategies including test plans, field trials, and performance benchmarking under real-world conditions\nIntegrate with controls systems (e.g., PLCs, industrial protocols) to enable closed-loop automation and actionable system responses\nDesign for safety, privacy, and reliability, including implementation of safeguards such as data filtering, masking, and fail-safe system behavior\nCollaborate with vendors and internal teams to prototype and scale custom hardware and automation solutions\nDrive standardization of architectures, deployment patterns, and engineering best practices for intelligent automation systems\nArtifact (research, schematics, specifications, prototypes, 3D Models, analysis, test plans, strategic narratives, etc.) and set the standard in organization for engineering excellence.\nAble 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).\nTravel up to 30% throughout North America, which can vary up to three weeks consecutive travel including weekends.\n\nAbout the team\nThe 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.\nBASIC QUALIFICATIONS\n3+ years of manufacturing equipment development experience, or Master's degree in computer science or electrical engineering\n5+ years of hardware engineering experience\n3+ years of systems engineering experience, or Bachelor's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field\nExperience with video and image processing and compression algorithms and standards, computer vision and/or machine learning\nExperience with Industrial control systems, both hardware and software\nExperience in complex problem solving, and working in a tight schedule environment\nExperience working with and configuring sensors (vision, depth, etc.) and edge compute devices in industrial environments.\nHands-on experience with cameras, sensors, embedded/edge computing platforms, or IIoT systems\nPREFERRED QUALIFICATIONS\nExperience with complex automated material handling equipment, packaging technologies, and systems and high-speed manufacturing\nExperience in creating products and services with hardware and software integrated\nExperience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers\nExperience in embedded wireless systems, or experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware\n5+ years of hardware design and validation of components, subsystems and systems experience\nExperience owning end-to-end programs to drive results\nMaster’s or PhD in mechanical, Industrial Engineering, Operations, or a related STEM field.\nExperience developing and supporting hardware/software systems across the product life cycle\nBackground in robotics, mechatronics, or physical AI systems\n\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\n\nOur 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.\n\nThe 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.\n\nUSA, WA, Bellevue - 129,200.00 - 174,800.00 USD annually","datePosted":"2026-08-04T15:56:40.734Z","dateModified":"2026-08-04T15:56:40.734Z","hiringOrganization":{"@type":"Organization","name":"Amazon.com Services","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"0f9b5fbf9e2cf34363aaf133"},"url":"https://jobsearcher.com/jobs/0f9b5fbf9e2cf34363aaf133"}}