Computer Engineer Visa Sponsorship Jobs in Washington
Computer engineer visa sponsorship jobs in Washington are concentrated in the Puget Sound tech corridor, where Microsoft, Amazon, Google, and Meta maintain large engineering teams in Seattle, Redmond, and Bellevue. Boeing's aerospace division and a dense network of cloud infrastructure and semiconductor companies add further depth to the sponsorship market across the state.
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Get Access To All JobsINTRODUCTION
Computer Vision Engineer
Location: Bellevue, WA. Onsite
Job Type: Full-time
Hands on Python coding experience is required. We seek candidates from industrial automation, sensors, PLCs, Jetson/edge computing, YOLO, anomalies, CNN, PyTorch/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
INTRODUCTION
Computer Vision Engineer
Location: Bellevue, WA. Onsite
Job Type: Full-time
Hands on Python coding experience is required. We seek candidates from industrial automation, sensors, PLCs, Jetson/edge computing, YOLO, anomalies, CNN, PyTorch/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
Computer Engineer Job Roles in Washington
See all 45+ Computer Engineer Jobs in Washington
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Search Computer Engineer Jobs in WashingtonComputer Engineer Jobs in Washington: Frequently Asked Questions
Which companies sponsor visas for computer engineers in Washington?
Microsoft and Amazon are the two largest H-1B visa sponsors for computer engineers in Washington, with filing volumes consistently among the highest in the country. Google, Meta, and Salesforce operate significant engineering offices in the Seattle metro. Boeing sponsors engineers through both H-1B and green card pathways for aerospace computing roles. Mid-size cloud, SaaS, and semiconductor companies in Redmond, Bellevue, and Kirkland also file regularly.
Which visa types fit computer engineer roles in Washington?
H-1B is the primary option for most nationalities, covering computer engineering as a specialty occupation requiring a relevant bachelor's degree. Canadian and Mexican nationals may qualify for TN visa status under the USMCA Engineer category. Singaporean nationals can use the H-1B1 visa, and Australian nationals can use the E-3 visa, both of which share the specialty occupation requirement. F-1 students with STEM-designated degrees in computer engineering or related fields are eligible for the 24-month STEM OPT extension, provided their employer is enrolled in E-Verify. EB-2 and EB-3 green card pathways are available for longer-term permanent residence.
How to find computer engineer visa sponsorship jobs in Washington?
Migrate Mate lists Washington employers with verified sponsorship history for computer engineer roles, letting you search by city and filter to companies that have filed for similar positions. This is more reliable than applying speculatively, since you can confirm an employer has actually sponsored computer engineers before reaching out. Seattle, Redmond, and Bellevue have the highest concentration of verified sponsors in the state.
Which cities in Washington have the most computer engineer sponsorship jobs?
Redmond and Bellevue account for a significant share of computer engineer sponsorships through Microsoft and a cluster of enterprise software companies. Seattle leads in total volume due to Amazon's headquarters and the offices of Google, Meta, and numerous fintech and cloud startups. Kirkland has grown as a secondary hub, partly driven by Google's campus there. Outside the Puget Sound area, sponsorship activity is more limited, though some aerospace and defense roles exist near Everett.
Are there state-specific factors that affect computer engineer visa sponsorship in Washington?
Washington's lack of a state income tax is a draw for international hires and may factor into compensation structures, though it doesn't directly affect visa sponsorship. The University of Washington's Paul G. Allen School of Computer Science and Engineering produces a steady pipeline of F-1 graduates who transition into OPT and H-1B roles with local employers. Washington also has a high density of large employers who qualify as cap-exempt for certain purposes, though standard H-1B petitions remain subject to the annual cap and selection process.
What is the prevailing wage for sponsored computer engineer jobs in Washington?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.