Jr Computer Vision Digital twin Engineer — Bellevue, WA

Computer Vision Engineer

Location: Bellevue, WA. Onsite

Job Type: Full-time

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.

Come help us build the future of fulfillment! 🚀

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