{"schemaVersion":"jobsearcher.job.v1","id":"45215424e00bc50b17037e67","url":"https://jobsearcher.com/jobs/45215424e00bc50b17037e67","canonicalUrl":"https://jobsearcher.com/jobs/45215424e00bc50b17037e67","title":"Computer Vision Engineer","description":"Job Information\nJob Opening ID\nZR_1167_JOB\nDate Opened\n04/07/2026\nIndustry\nIT Services\nJob Type\nFull time\nCity\nBellevue\nState/Province\nWashington\nCountry\nUnited States\nZip/Postal Code\n98004\nJob Description\nRole Overview\n\nWe are seeking a highly skilled and innovative Computer Vision Engineering to lead the lifecycle of complex cross-functional projects within our North America Fulfillment Network. This role focuses on designing, developing, and implementing advanced engineering solutions, integrating IIoT hardware, computer vision, and machine learning to improve material handling, operator workflows, and fulfillment processes.\n\nThe ideal candidate has a strong background in engineering design, computer vision, and applied machine learning, with proven experience driving large-scale projects, collaborating across teams, and delivering impactful outcomes in dynamic operational environments.\n\nKey Responsibilities\nLead and manage end-to-end life cycles of complex cross-functional projects spanning organizations and geographies, ensuring delivery of impactful business outcomes.\n\nEngineering Solutions: Design and develop engineering solutions for material handling challenges, considering human–equipment interactions and operational excellence.\n\nIIoT Development: Develop, configure, and implement IIoT hardware to enhance equipment, processes, and operator workflows.\n\nSimulation & Modeling: Collaborate with Scientists to create advanced simulation models and perform “what-if” scenario testing to drive optimal hardware and process solutions.\n\nConcept & Design Leadership: Lead concept efforts for optimal solutions including equipment specifications, material flow, ergonomics, associate experience, operational considerations, and site layout.\n\nVendor & Stakeholder Collaboration: Partner with suppliers, vendors, and internal teams to deliver innovative solutions with scalability and efficiency.\n\nDocumentation & Standards: Ensure all solutions are documented with SOPs and/or structured change control, setting standards for engineering excellence.\n\nMulti-Project Management: Manage multiple initiatives simultaneously while influencing, negotiating, and communicating effectively with internal and external stakeholders.\n\nThought Leadership: Deliver artifacts (research, schematics, prototypes, 3D models, analysis, test plans, narratives) that set benchmarks for organizational engineering standards.\n\nConsensus Building: Communicate complex ideas clearly, harmonize diverse perspectives, and build consensus to resolve contentious issues.\n\nMust-Have Qualifications\nProven experience in computer vision (CV) and machine learning (ML) integration for real-time solutions.\n\nStrong coding skills (Python, C++, or similar) with the ability to prototype, test, and deploy ML/CV models in production environments.\n\nDemonstrated ability to lead large-scale engineering projects or device development from concept through implementation.\n\nHands-on experience with IIoT hardware design, configuration, and integration for operational improvements.\n\nStrong knowledge of system design, material handling, and human–machine interaction principles.\n\nExceptional program management, communication, and stakeholder management skills.\n\nNice-to-Have Qualifications\nAdvanced Python programming skills for data modelling, simulation, and rapid prototyping.\n\nExperience with system emulation and testing environments.\n\nStrong background in cross-functional collaboration within large, fast-paced, and dynamic operational environments.\n\nFamiliarity with 3D modelling, CAD tools, or hardware prototyping.","company":"Sidglobalsolutions","rawCompany":"sidglobalsolutions","city":"Seattle","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-08-03T13:03:14.502Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"17-2199.00","title":"Engineers, All Other","slug":"engineers-all-other"}],"industries":[{"code":"541330","title":"Engineering Services","slug":"engineering-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Computer Vision Engineer","description":"Job Information\nJob Opening ID\nZR_1167_JOB\nDate Opened\n04/07/2026\nIndustry\nIT Services\nJob Type\nFull time\nCity\nBellevue\nState/Province\nWashington\nCountry\nUnited States\nZip/Postal Code\n98004\nJob Description\nRole Overview\n\nWe are seeking a highly skilled and innovative Computer Vision Engineering to lead the lifecycle of complex cross-functional projects within our North America Fulfillment Network. This role focuses on designing, developing, and implementing advanced engineering solutions, integrating IIoT hardware, computer vision, and machine learning to improve material handling, operator workflows, and fulfillment processes.\n\nThe ideal candidate has a strong background in engineering design, computer vision, and applied machine learning, with proven experience driving large-scale projects, collaborating across teams, and delivering impactful outcomes in dynamic operational environments.\n\nKey Responsibilities\nLead and manage end-to-end life cycles of complex cross-functional projects spanning organizations and geographies, ensuring delivery of impactful business outcomes.\n\nEngineering Solutions: Design and develop engineering solutions for material handling challenges, considering human–equipment interactions and operational excellence.\n\nIIoT Development: Develop, configure, and implement IIoT hardware to enhance equipment, processes, and operator workflows.\n\nSimulation & Modeling: Collaborate with Scientists to create advanced simulation models and perform “what-if” scenario testing to drive optimal hardware and process solutions.\n\nConcept & Design Leadership: Lead concept efforts for optimal solutions including equipment specifications, material flow, ergonomics, associate experience, operational considerations, and site layout.\n\nVendor & Stakeholder Collaboration: Partner with suppliers, vendors, and internal teams to deliver innovative solutions with scalability and efficiency.\n\nDocumentation & Standards: Ensure all solutions are documented with SOPs and/or structured change control, setting standards for engineering excellence.\n\nMulti-Project Management: Manage multiple initiatives simultaneously while influencing, negotiating, and communicating effectively with internal and external stakeholders.\n\nThought Leadership: Deliver artifacts (research, schematics, prototypes, 3D models, analysis, test plans, narratives) that set benchmarks for organizational engineering standards.\n\nConsensus Building: Communicate complex ideas clearly, harmonize diverse perspectives, and build consensus to resolve contentious issues.\n\nMust-Have Qualifications\nProven experience in computer vision (CV) and machine learning (ML) integration for real-time solutions.\n\nStrong coding skills (Python, C++, or similar) with the ability to prototype, test, and deploy ML/CV models in production environments.\n\nDemonstrated ability to lead large-scale engineering projects or device development from concept through implementation.\n\nHands-on experience with IIoT hardware design, configuration, and integration for operational improvements.\n\nStrong knowledge of system design, material handling, and human–machine interaction principles.\n\nExceptional program management, communication, and stakeholder management skills.\n\nNice-to-Have Qualifications\nAdvanced Python programming skills for data modelling, simulation, and rapid prototyping.\n\nExperience with system emulation and testing environments.\n\nStrong background in cross-functional collaboration within large, fast-paced, and dynamic operational environments.\n\nFamiliarity with 3D modelling, CAD tools, or hardware prototyping.","datePosted":"2026-08-03T13:03:14.502Z","dateModified":"2026-08-03T13:03:14.502Z","hiringOrganization":{"@type":"Organization","name":"Sidglobalsolutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"45215424e00bc50b17037e67"},"url":"https://jobsearcher.com/jobs/45215424e00bc50b17037e67"}}