Intelligent Systems Platform Engineer
About The Position
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.
Requirements
- 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
Nice To Haves
- 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
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
- 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
Benefits
- Collaborative and fast-paced environment
- Opportunity to take ownership of complex systems
- Influence platform direction
- Help define the future of industrial IoT and AI-driven infrastructure solutions
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Number of Employees
1-10 employees
