Intelligent Systems Platform Engineer

• 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

• 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

• 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.

Hyper 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.

All 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.

Please 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.