Intelligent Systems Platform Engineer

The 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.

This 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.

This 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.

Core Responsibilities

• Design, build, and operate Hyper's AI-native Industrial IoT platform end-to-end
• Architect and manage a polyglot data platform leveraging appropriate storage technologies for time-series, relational, unstructured, and vector data
• Build and maintain industrial data pipelines integrating IoT telemetry, engineering data, field service records, and OEM documentation
• Develop scalable data pipelines supporting both traditional machine learning and generative AI workflows
• Define and enforce data quality, governance, observability, and security standards across the platform
• Design and maintain industrial data models and asset frameworks supporting monitoring, benchmarking, and trend analysis
• Partner with data scientists to enable predictive maintenance, anomaly detection, and fault classification models in production
• Collaborate with analytics product managers to deliver data products such as condition-based maintenance, fleet optimization, and energy efficiency insights
• Translate customer and operational requirements into platform capabilities and data products

Additional Responsibilities

• Capture and structure engineering and field service knowledge into standardized platform inputs
• Evaluate and select platform components including IoT gateways, edge devices, cloud services, and data infrastructure tooling
• Manage vendor and technology partner relationships to ensure alignment with platform roadmap and delivery expectations
• Embed security best practices aligned with IEC 62443 and OT/IT convergence standards into platform design and operation
• Maintain platform documentation including architecture diagrams, data lineage, and onboarding materials
• Partner with Sales and Product teams to align platform capabilities with go-to-market strategy and customer outcomes, * Hyper's AI-native IoT platform operates reliably at scale, supporting mission-critical infrastructure data
• Data pipelines are robust, high-quality, and enable accurate and trustworthy analytics and AI outputs
• Cross-functional teams are able to leverage platform capabilities to deliver impactful data products
• Customers gain actionable insights through condition-based maintenance, optimization, and analytics tools
• Platform architecture is scalable, secure, and adaptable to evolving product and customer needs

Why Hyper?

At 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.

Hyper 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.

• Bachelor's degree in Computer Science, Electrical Engineering, Systems Engineering, or related field (Master's preferred)
• 5+ years of experience designing and operating industrial IoT platforms, data pipelines, or OT/IT data infrastructure
• Strong experience with data modeling, schema governance, and high-throughput data pipeline design
• Experience designing and implementing polyglot data architectures across multiple data types
• Hands-on experience building end-to-end data pipelines for machine learning and generative AI workflows
• Familiarity with industrial communication protocols such as Modbus, BACnet, SNMP, OPC-UA, and MQTT
• Experience working with cloud platforms such as AWS, Azure, or GCP for data and ML workloads
• Experience collaborating with data scientists and supporting production ML model deployment
• Strong understanding of data security, governance, and observability practices, * Experience with predictive maintenance, condition monitoring, or industrial analytics systems
• Familiarity with SCADA, DCIM, BMS, or CMMS platforms
• Experience applying generative AI and RAG techniques to technical or industrial datasets
• Experience with containerized environments and CI/CD pipelines for data platforms
• Familiarity with data lakehouse or federated data architectures
• Experience with data observability and monitoring tools
• Knowledge of IEC 62443 or similar industrial cybersecurity frameworks
• Relevant certifications such as AWS ML Specialty, Azure IoT Developer, or similar