Computer Vision Digital twin Engineer

Job Description

Computer Vision Engineer

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Location: Bellevue, WA. Onsite

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Job Type: Full-time

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Hands on Python coding experience is required.

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we seek candidate from

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industrial automation

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sensors

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PLCs

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Jetson/edge computing

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yolo

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Anomalies

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CNN

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Py Torch/YOLO

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PLC

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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.

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What You’ll Work On

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• Lead complex, cross-functional engineering projects from concept to deployment.
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• Design and develop computer vision solutions for industrial and fulfillment environments.
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• Build and configure IIoT hardware , sensors, cameras, and edge-computing systems.
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• Develop and deploy YOLO/CNN-based computer vision models , including training, fine-tuning, and optimization.
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• Deploy vision models on edge devices such as NVIDIA Jetson, Raspberry Pi, and CPU/GPU platforms .
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• Build end-to-end vision pipelines using Python and Linux .
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• Work with real-time data, PLC-connected sensors, and industrial systems .
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• Integrate computer vision outputs with APIs, dashboards, and UI applications .
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• Collaborate with scientists on simulation and “what-if” analysis to optimize hardware and system designs.
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• Work with engineering teams, vendors, and suppliers to develop innovative solutions.
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• Create technical documentation including prototypes, schematics, specifications, test plans, and engineering standards .
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• Drive projects involving equipment design, material flow, process optimization, ergonomics, and operator experience.
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Key Skills

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• Strong Python and Linux skills
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• Hands-on Computer Vision / Deep Learning
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• Experience with YOLO, CNNs, model training & fine-tuning
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• Experience deploying models on edge devices
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• Knowledge of cameras, sensors, and IIoT
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• Experience with industrial environments, PLCs, and real-time systems
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• Familiarity with Amazon SageMaker
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• Strong system integration and troubleshooting skills
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• Excellent project management and communication skills
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• Ability to work in fast-paced, ambiguous, and cross-functional environments
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Role Expectations

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• Approximately 30% travel across USA
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• Collaboration with engineering, science, operations, and external partners
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• Ability to work from a corporate office when not traveling
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• Candidates should be willing to relocate within a reasonable commuting distance
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If 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.

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Come help us build the future of fulfillment!

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