{"schemaVersion":"jobsearcher.job.v1","id":"a88edcedc0ff339c719894d9","url":"https://jobsearcher.com/jobs/a88edcedc0ff339c719894d9","canonicalUrl":"https://jobsearcher.com/jobs/a88edcedc0ff339c719894d9","title":"Intelligent Systems Platform Engineer","description":"Description:\nThe Intelligent Systems Platform Engineer at Hyper Solutions plays a critical role in building and scaling Hyper Sense, Hyper’s AI-native Industrial IoT platform for mission-critical data center power and cooling infrastructure. This position is responsible for designing and operating the end-to-end platform that enables data ingestion, multi-modal data management, AI model deployment, and customer-facing intelligence products.\nThis role operates at the intersection of industrial systems, data engineering, and applied AI. You will architect and manage a polyglot data environment that integrates telemetry, engineering data, field service history, and OEM documentation into scalable, production-grade data products. The Intelligent Systems Platform Engineer partners closely with data scientists, product managers, and customer-facing teams to deliver advanced analytics and intelligent aftermarket services.\nThis position is well-suited for a systems-oriented engineer who thrives in building complex, data-intensive platforms from the ground up and is comfortable operating across cloud infrastructure, industrial systems, and AI-enabled data workflows.\nCore Responsibilities\nDesign, build, and operate Hyper’s AI-native Industrial IoT platform end-to-end\nArchitect and manage a polyglot data platform leveraging appropriate storage technologies for time-series, relational, unstructured, and vector data\nBuild and maintain industrial data pipelines integrating IoT telemetry, engineering data, field service records, and OEM documentation\nDevelop scalable data pipelines supporting both traditional machine learning and generative AI workflows\nDefine and enforce data quality, governance, observability, and security standards across the platform\nDesign and maintain industrial data models and asset frameworks supporting monitoring, benchmarking, and trend analysis\nPartner with data scientists to enable predictive maintenance, anomaly detection, and fault classification models in production\nCollaborate with analytics product managers to deliver data products such as condition-based maintenance, fleet optimization, and energy efficiency insights\nTranslate customer and operational requirements into platform capabilities and data products\nAdditional Responsibilities\nCapture and structure engineering and field service knowledge into standardized platform inputs\nEvaluate and select platform components including IoT gateways, edge devices, cloud services, and data infrastructure tooling\nManage vendor and technology partner relationships to ensure alignment with platform roadmap and delivery expectations\nEmbed security best practices aligned with IEC 62443 and OT/IT convergence standards into platform design and operation\nMaintain platform documentation including architecture diagrams, data lineage, and onboarding materials\nPartner with Sales and Product teams to align platform capabilities with go-to-market strategy and customer outcomes\nRequirements:\nBachelor’s degree in Computer Science, Electrical Engineering, Systems Engineering, or related field (Master’s preferred)\n5+ years of experience designing and operating industrial IoT platforms, data pipelines, or OT/IT data infrastructure\nStrong experience with data modeling, schema governance, and high-throughput data pipeline design\nExperience designing and implementing polyglot data architectures across multiple data types\nHands-on experience building end-to-end data pipelines for machine learning and generative AI workflows\nFamiliarity with industrial communication protocols such as Modbus, BACnet, SNMP, OPC-UA, and MQTT\nExperience working with cloud platforms such as AWS, Azure, or GCP for data and ML workloads\nExperience collaborating with data scientists and supporting production ML model deployment\nStrong understanding of data security, governance, and observability practices\nPreferred Qualifications\nExperience with predictive maintenance, condition monitoring, or industrial analytics systems\nFamiliarity with SCADA, DCIM, BMS, or CMMS platforms\nExperience applying generative AI and RAG techniques to technical or industrial datasets\nExperience with containerized environments and CI/CD pipelines for data platforms\nFamiliarity with data lakehouse or federated data architectures\nExperience with data observability and monitoring tools\nKnowledge of IEC 62443 or similar industrial cybersecurity frameworks\nRelevant certifications such as AWS ML Specialty, Azure IoT Developer, or similar\nWhat Success Looks Like\nHyper’s AI-native IoT platform operates reliably at scale, supporting mission-critical infrastructure data\nData pipelines are robust, high-quality, and enable accurate and trustworthy analytics and AI outputs\nCross-functional teams are able to leverage platform capabilities to deliver impactful data products\nCustomers gain actionable insights through condition-based maintenance, optimization, and analytics tools\nPlatform architecture is scalable, secure, and adaptable to evolving product and customer needs\nWhy Hyper?\nAt Hyper, you’ll play a foundational role in building the intelligent systems platform that powers next-generation data center infrastructure. You’ll work across engineering, data science, and product teams to create solutions that directly impact reliability, efficiency, and innovation in mission-critical environments.\nHyper offers a collaborative and fast-paced environment where you can take ownership of complex systems, influence platform direction, and help define the future of industrial IoT and AI-driven infrastructure solutions.\nLocation\nOn-site in Richmond, VA\nCompensation\nThe anticipated minimum hiring range for this role is $130,000 - $150,000 per year plus bonus. Actual salary varies due to factors that may include, but are not limited to, relevant experience, skills, certifications, and location. This hire will be eligible for a discretionary bonus or incentive compensation. Variable compensation may depend on various factors, such as individual and organizational performance.\nHyper Solutions is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, veteran status, or any other protected status under applicable laws.\nAll applications will be used exclusively for selection purposes and handled confidentially by authorized personnel only. Your application may also be considered for other suitable positions within Hyper Solutions, Inc.\nPlease note that Hyper Solutions is currently unable to offer visa sponsorship, and applicants must be authorized to work in the U.S. without the need for sponsorship now or in the future.\n#ID26","company":"Hyper Solutions","rawCompany":"hyper solutions","city":"Henrico","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-08-03T13:15:11.514Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-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"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Intelligent Systems Platform Engineer","description":"Description:\nThe Intelligent Systems Platform Engineer at Hyper Solutions plays a critical role in building and scaling Hyper Sense, Hyper’s AI-native Industrial IoT platform for mission-critical data center power and cooling infrastructure. This position is responsible for designing and operating the end-to-end platform that enables data ingestion, multi-modal data management, AI model deployment, and customer-facing intelligence products.\nThis role operates at the intersection of industrial systems, data engineering, and applied AI. You will architect and manage a polyglot data environment that integrates telemetry, engineering data, field service history, and OEM documentation into scalable, production-grade data products. The Intelligent Systems Platform Engineer partners closely with data scientists, product managers, and customer-facing teams to deliver advanced analytics and intelligent aftermarket services.\nThis position is well-suited for a systems-oriented engineer who thrives in building complex, data-intensive platforms from the ground up and is comfortable operating across cloud infrastructure, industrial systems, and AI-enabled data workflows.\nCore Responsibilities\nDesign, build, and operate Hyper’s AI-native Industrial IoT platform end-to-end\nArchitect and manage a polyglot data platform leveraging appropriate storage technologies for time-series, relational, unstructured, and vector data\nBuild and maintain industrial data pipelines integrating IoT telemetry, engineering data, field service records, and OEM documentation\nDevelop scalable data pipelines supporting both traditional machine learning and generative AI workflows\nDefine and enforce data quality, governance, observability, and security standards across the platform\nDesign and maintain industrial data models and asset frameworks supporting monitoring, benchmarking, and trend analysis\nPartner with data scientists to enable predictive maintenance, anomaly detection, and fault classification models in production\nCollaborate with analytics product managers to deliver data products such as condition-based maintenance, fleet optimization, and energy efficiency insights\nTranslate customer and operational requirements into platform capabilities and data products\nAdditional Responsibilities\nCapture and structure engineering and field service knowledge into standardized platform inputs\nEvaluate and select platform components including IoT gateways, edge devices, cloud services, and data infrastructure tooling\nManage vendor and technology partner relationships to ensure alignment with platform roadmap and delivery expectations\nEmbed security best practices aligned with IEC 62443 and OT/IT convergence standards into platform design and operation\nMaintain platform documentation including architecture diagrams, data lineage, and onboarding materials\nPartner with Sales and Product teams to align platform capabilities with go-to-market strategy and customer outcomes\nRequirements:\nBachelor’s degree in Computer Science, Electrical Engineering, Systems Engineering, or related field (Master’s preferred)\n5+ years of experience designing and operating industrial IoT platforms, data pipelines, or OT/IT data infrastructure\nStrong experience with data modeling, schema governance, and high-throughput data pipeline design\nExperience designing and implementing polyglot data architectures across multiple data types\nHands-on experience building end-to-end data pipelines for machine learning and generative AI workflows\nFamiliarity with industrial communication protocols such as Modbus, BACnet, SNMP, OPC-UA, and MQTT\nExperience working with cloud platforms such as AWS, Azure, or GCP for data and ML workloads\nExperience collaborating with data scientists and supporting production ML model deployment\nStrong understanding of data security, governance, and observability practices\nPreferred Qualifications\nExperience with predictive maintenance, condition monitoring, or industrial analytics systems\nFamiliarity with SCADA, DCIM, BMS, or CMMS platforms\nExperience applying generative AI and RAG techniques to technical or industrial datasets\nExperience with containerized environments and CI/CD pipelines for data platforms\nFamiliarity with data lakehouse or federated data architectures\nExperience with data observability and monitoring tools\nKnowledge of IEC 62443 or similar industrial cybersecurity frameworks\nRelevant certifications such as AWS ML Specialty, Azure IoT Developer, or similar\nWhat Success Looks Like\nHyper’s AI-native IoT platform operates reliably at scale, supporting mission-critical infrastructure data\nData pipelines are robust, high-quality, and enable accurate and trustworthy analytics and AI outputs\nCross-functional teams are able to leverage platform capabilities to deliver impactful data products\nCustomers gain actionable insights through condition-based maintenance, optimization, and analytics tools\nPlatform architecture is scalable, secure, and adaptable to evolving product and customer needs\nWhy Hyper?\nAt Hyper, you’ll play a foundational role in building the intelligent systems platform that powers next-generation data center infrastructure. You’ll work across engineering, data science, and product teams to create solutions that directly impact reliability, efficiency, and innovation in mission-critical environments.\nHyper offers a collaborative and fast-paced environment where you can take ownership of complex systems, influence platform direction, and help define the future of industrial IoT and AI-driven infrastructure solutions.\nLocation\nOn-site in Richmond, VA\nCompensation\nThe anticipated minimum hiring range for this role is $130,000 - $150,000 per year plus bonus. Actual salary varies due to factors that may include, but are not limited to, relevant experience, skills, certifications, and location. This hire will be eligible for a discretionary bonus or incentive compensation. Variable compensation may depend on various factors, such as individual and organizational performance.\nHyper Solutions is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, veteran status, or any other protected status under applicable laws.\nAll applications will be used exclusively for selection purposes and handled confidentially by authorized personnel only. Your application may also be considered for other suitable positions within Hyper Solutions, Inc.\nPlease note that Hyper Solutions is currently unable to offer visa sponsorship, and applicants must be authorized to work in the U.S. without the need for sponsorship now or in the future.\n#ID26","datePosted":"2026-08-03T13:15:11.514Z","dateModified":"2026-08-03T13:15:11.514Z","hiringOrganization":{"@type":"Organization","name":"Hyper Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Henrico","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a88edcedc0ff339c719894d9"},"url":"https://jobsearcher.com/jobs/a88edcedc0ff339c719894d9"}}