Computer Vision Digital twin Engineer

Computer Vision Engineer

Location: Bellevue, WA. Onsite

Job 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 from

industrial automation

sensors

PLCs

Jetson/edge computing

yolo

Anomalies

CNN

Py 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 On

• Lead 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 Skills

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

Role Expectations

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

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. xhyhwjd

Come help us build the future of fulfillment!

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