Skip to main content
Loading
loadingbar
Loading, Please wait..!!

Jr Computer Vision Digital twin Engineer

  • Jr Computer Vision Digital twin Engineer job type Posted on: Nov 05, 2026
  • Jr Computer Vision Digital twin Engineer experience level SID Global Solutions
  • Jr Computer Vision Digital twin Engineer employment type Bellevue, Washington
  • Jr Computer Vision Digital twin Engineer employment type Onsite
  • Jr Computer Vision Digital twin Engineer salary Full-time

Point Apply Here APPLY LATER

Curious about compensation?

Explore the historical salary trends, average pay, and estimated compensation for Jr Computer Vision Digital twin Engineer roles in Washington.

View Salary Guide →

Job Title :

Jr Computer Vision Digital twin Engineer

Job Type :

Full-Time

Job Location :

Bellevue Washington United States

Remote :

No

Jobcon Logo Job Description :

Computer Vision EngineerLocation: Bellevue, WA. OnsiteJob Type: Full-timeHands on Python coding experience is required.we seek candidate fromindustrial automationsensorsPLCsJetson/edge computingyoloAnomaliesCNNPy Torch/YOLOPLCIn 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.Come help us build the future of fulfillment! 🚀#Hiring #ComputerVision #AI #MachineLearning #DeepLearning #Python #YOLO #IIoT #EdgeAI #Robotics #IndustrialAutomation #ComputerVisionEngineer #EngineeringJobs #TechJobs

Jobcon Logo Position Details

Posted:

Nov 05, 2026

Reference Number:

10440_4486392446

Employment:

Full-time

City:

Bellevue

Job Origin:

APPCAST_CPC

Share this job:

  • linkedin

Jobcon Logo
A job sourcing event
In Dallas Fort Worth
Aug 19, 2017 9am-6pm
All job seekers welcome!

Jr Computer Vision Digital twin Engineer    Apply

Click on the below icons to share this job to Linkedin, Twitter!

Computer Vision EngineerLocation: Bellevue, WA. OnsiteJob Type: Full-timeHands on Python coding experience is required.we seek candidate fromindustrial automationsensorsPLCsJetson/edge computingyoloAnomaliesCNNPy Torch/YOLOPLCIn 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.Come help us build the future of fulfillment! 🚀#Hiring #ComputerVision #AI #MachineLearning #DeepLearning #Python #YOLO #IIoT #EdgeAI #Robotics #IndustrialAutomation #ComputerVisionEngineer #EngineeringJobs #TechJobs

Loading
Please wait..!!