Computer Vision Digital twin Engineer

Computer Vision EngineerLocation: Bellevue, WA. OnsiteJob Type: Full-time

All the relevant skills, qualifications and experience that a successful applicant will need are listed in the following description.
Hands on Python coding experience is required.we seek candidate fromindustrial automationsensorsPLCsJetson/edge computingyoloAnomaliesCNNPy Torch/YOLO PLC
In this role, you’ll work across Computer Vision, IIoT, Robotics, Hardware, Software, Controls, and Industrial Automation to develop next-generation solutions for fulfillment and material-handling systems. What You’ll Work OnLead complex, cross-functional engineering projects from concept to deployment.Design and develop computer vision solutions for industrial and fulfillment environments.Build and configure IIoT hardware, sensors, cameras, and edge-computing systems.Develop and deploy YOLO/CNN-based computer vision models, including training, fine-tuning, and optimization.Deploy vision models on edge devices such as NVIDIA Jetson, Raspberry Pi, and CPU/GPU platforms.Build end-to-end vision pipelines using Python and Linux.Work with real-time data, PLC-connected sensors, and industrial systems.Integrate computer vision outputs with APIs, dashboards, and UI applications.Collaborate with scientists on simulation and “what-if” analysis to optimize hardware and system designs.Work with engineering teams, vendors, and suppliers to develop innovative solutions.Create technical documentation including prototypes, schematics, specifications, test plans, and engineering standards.Drive projects involving equipment design, material flow, process optimization, ergonomics, and operator experience. Key SkillsStrong Python and Linux skillsHands-on Computer Vision / Deep LearningExperience with YOLO, CNNs, model training & fine-tuningExperience deploying models on edge devicesKnowledge of cameras, sensors, and IIoTExperience with industrial environments, PLCs, and real-time systemsFamiliarity with Amazon SageMakerStrong system integration and troubleshooting skillsExcellent project management and communication skillsAbility to work in fast-paced, ambiguous, and cross-functional environments Role ExpectationsApproximately 30% travel across USACollaboration with engineering, science, operations, and external partnersAbility to work from a corporate office when not travelingCandidates should be willing to relocate within a reasonable commuting distanceIf you’re passionate about Computer Vision + AI + Edge Computing + Industrial Automation and want to work on large-scale physical systems, this could be an exciting opportunity. xzbcwsv Come help us build the future of fulfillment! #Hiring #ComputerVision #AI #MachineLearning #DeepLearning #Python #YOLO #IIoT #EdgeAI #Robotics #IndustrialAutomation #ComputerVisionEngineer #EngineeringJobs #TechJobs