SID Global Solutions
Jr Computer Vision Digital twin Engineer
Bellevue, Washington, US
Role snapshot
SID Global Solutions is hiring a Jr Computer Vision Digital twin Engineer on a full-time basis. This is an on-site role based in Bellevue, Washington, US.
- Company
- SID Global Solutions
- Location
- Bellevue, Washington, US
- Work mode
- On-site
- Job type
- Full-time
- Posted
- Nov 6, 2026
Who this role suits
The listing does not state a required experience level here. Read the requirements in the description below and apply if they match your background.
How to prepare your application
- Match your résumé to the requirements in the description, using the same wording where it is honest to do so.
- Prepare a short example for each requirement you meet, and be ready to explain any you only partly meet.
- Read what SID Global Solutions publishes about its product or team, so you can say clearly why this role and this company.
Apply only on SID Global Solutions's own site. A genuine employer never asks candidates for money, deposits or bank details to apply, interview or “secure” a job. If something looks wrong, use Report a problem with this listing and we will review it. Read how we check listings.
About the role
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! 🚀
#Hiring #ComputerVision #AI #MachineLearning #DeepLearning #Python #YOLO #IIoT #EdgeAI #Robotics #IndustrialAutomation #ComputerVisionEngineer #EngineeringJobs #TechJobs