{"schemaVersion":"jobsearcher.job.v1","id":"58c6c4fe05f6fa66c56c247e","url":"https://jobsearcher.com/jobs/58c6c4fe05f6fa66c56c247e","canonicalUrl":"https://jobsearcher.com/jobs/58c6c4fe05f6fa66c56c247e","title":"Technical Program Manager","description":"Job Information\nJob Opening ID\nZR_1171_JOB\nDate Opened\n04/07/2026\nIndustry\nIT Services\nJob Type\nFull time\nCity\nExton\nState/Province\nPennsylvania\nCountry\nUnited States\nZip/Postal Code\n19341\nJob Description\nJob Title: Technical Program Manager\n\nThe Technical Program Manager is not expected to code models, but must have sufficient technical depth to drive execution, manage trade‑offs, and unblock teams working on Linux‑based vision systems, sensors, PLC‑integrated environments, and real‑time data pipelines.\n\nKey Responsibilities\n\nProgram Ownership & Execution\n\nOwn end‑to‑end delivery of computer vision programs, from requirements definition through edge deployment and production rollout\n\nBreak down complex CV initiatives (model training, fine‑tuning, inference optimization, edge rollout) into clear milestones, timelines, and dependencies\n\nManage cross‑team dependencies across ML, embedded/edge, hardware, industrial systems, and UI/API teams\n\nTechnical Program Leadership (Computer Vision Focus)\n\nPartner with Computer Vision Engineers building YOLO/CNN‑based models to align on execution plans, performance targets, and deployment readiness\n\nDrive coordination across teams deploying models on Raspberry Pi, Jetson Nano, CPU/GPU edge platforms\n\nManage programs involving Linux systems, sensors, industrial cameras, PLC‑connected devices, and real‑time data streams\n\nEnsure model training and tuning workflows using Amazon SageMaker are production‑ready and aligned to delivery timelines\n\nEdge & Industrial Integration\n\nDrive programs that integrate vision outputs into:\n\nDashboards and operational tools\n\nAPIs and backend platform services\n\nUI and downstream consuming teams\n\nCoordinate validation in industrial or field environments, managing constraints like latency, hardware limitations, and environmental variability\n\nRisk, Metrics & Delivery Excellence\n\nIdentify risks related to:\n\nModel accuracy vs. inference performance\n\nEdge hardware constraints\n\nData quality, sensor reliability, and real‑time processing\n\nDefine and track program metrics such as model readiness, deployment success rates, latency targets, and operational stability\n\nEscalate issues early and drive data‑based trade‑off decisions\n\nCommunication & Stakeholder Management\n\nCommunicate program status, risks, and decisions clearly to senior technical and business stakeholders\n\nServe as the single‑threaded owner for Computer Vision programs across multiple teams\n\nTranslate engineer‑level detail into executive‑level updates\n\nBasic Qualifications\n\n3–5+ years of experience in technical program management or systems program management\n\nExperience working with computer vision, ML systems, edge computing, or embedded systems teams\n\nStrong understanding of:\n\nLinux environments\n\nCamera/sensor‑based systems\n\nModel training vs. inference trade‑offs\n\nDemonstrated ability to manage cross‑functional technical programs involving software, hardware, and data pipelines\n\nStrong written and verbal communication skills\n\nPreferred Qualifications\n\nExperience with edge AI deployments (Jetson, embedded GPUs, industrial edge devices)\n\nFamiliarity with Amazon SageMaker workflows for model training and tuning\n\nExposure to industrial systems, PLC‑integrated environments, or real‑time streaming architectures\n\nExperience delivering systems that integrate ML outputs into APIs, dashboards, or operational UIs","company":"Sidglobalsolutions","rawCompany":"sidglobalsolutions","city":"Exton","state":"PA","isRemote":false,"isActive":false,"createdAt":"2026-07-16T18:44:50.020Z","occupations":[{"code":"15-1299.09","title":"Information Technology Project Managers","slug":"information-technology-project-managers"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"code":"13-1082.00","title":"Project Management Specialists","slug":"project-management-specialists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Technical Program Manager","description":"Job Information\nJob Opening ID\nZR_1171_JOB\nDate Opened\n04/07/2026\nIndustry\nIT Services\nJob Type\nFull time\nCity\nExton\nState/Province\nPennsylvania\nCountry\nUnited States\nZip/Postal Code\n19341\nJob Description\nJob Title: Technical Program Manager\n\nThe Technical Program Manager is not expected to code models, but must have sufficient technical depth to drive execution, manage trade‑offs, and unblock teams working on Linux‑based vision systems, sensors, PLC‑integrated environments, and real‑time data pipelines.\n\nKey Responsibilities\n\nProgram Ownership & Execution\n\nOwn end‑to‑end delivery of computer vision programs, from requirements definition through edge deployment and production rollout\n\nBreak down complex CV initiatives (model training, fine‑tuning, inference optimization, edge rollout) into clear milestones, timelines, and dependencies\n\nManage cross‑team dependencies across ML, embedded/edge, hardware, industrial systems, and UI/API teams\n\nTechnical Program Leadership (Computer Vision Focus)\n\nPartner with Computer Vision Engineers building YOLO/CNN‑based models to align on execution plans, performance targets, and deployment readiness\n\nDrive coordination across teams deploying models on Raspberry Pi, Jetson Nano, CPU/GPU edge platforms\n\nManage programs involving Linux systems, sensors, industrial cameras, PLC‑connected devices, and real‑time data streams\n\nEnsure model training and tuning workflows using Amazon SageMaker are production‑ready and aligned to delivery timelines\n\nEdge & Industrial Integration\n\nDrive programs that integrate vision outputs into:\n\nDashboards and operational tools\n\nAPIs and backend platform services\n\nUI and downstream consuming teams\n\nCoordinate validation in industrial or field environments, managing constraints like latency, hardware limitations, and environmental variability\n\nRisk, Metrics & Delivery Excellence\n\nIdentify risks related to:\n\nModel accuracy vs. inference performance\n\nEdge hardware constraints\n\nData quality, sensor reliability, and real‑time processing\n\nDefine and track program metrics such as model readiness, deployment success rates, latency targets, and operational stability\n\nEscalate issues early and drive data‑based trade‑off decisions\n\nCommunication & Stakeholder Management\n\nCommunicate program status, risks, and decisions clearly to senior technical and business stakeholders\n\nServe as the single‑threaded owner for Computer Vision programs across multiple teams\n\nTranslate engineer‑level detail into executive‑level updates\n\nBasic Qualifications\n\n3–5+ years of experience in technical program management or systems program management\n\nExperience working with computer vision, ML systems, edge computing, or embedded systems teams\n\nStrong understanding of:\n\nLinux environments\n\nCamera/sensor‑based systems\n\nModel training vs. inference trade‑offs\n\nDemonstrated ability to manage cross‑functional technical programs involving software, hardware, and data pipelines\n\nStrong written and verbal communication skills\n\nPreferred Qualifications\n\nExperience with edge AI deployments (Jetson, embedded GPUs, industrial edge devices)\n\nFamiliarity with Amazon SageMaker workflows for model training and tuning\n\nExposure to industrial systems, PLC‑integrated environments, or real‑time streaming architectures\n\nExperience delivering systems that integrate ML outputs into APIs, dashboards, or operational UIs","datePosted":"2026-07-16T18:44:50.020Z","dateModified":"2026-07-16T18:44:50.020Z","hiringOrganization":{"@type":"Organization","name":"Sidglobalsolutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Exton","addressRegion":"PA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"58c6c4fe05f6fa66c56c247e"},"url":"https://jobsearcher.com/jobs/58c6c4fe05f6fa66c56c247e"}}