Predictive diagnostics software for industrial equipment reliability
SmartSignal builds predictive diagnostics for power generation and oil and gas equipment, yet its job posts read like a hardware and energy-manufacturing operation: wind turbine assembly, weld validation and fatigue analysis sit alongside a Java, Spring Boot, Kafka and Kubernetes software stack. Accelerating hiring spans engineering, manufacturing and ops across the US, India and Singapore, with tender costing and cost visibility as recurring pressures.
SmartSignal provides predictive diagnostics software and services that help operators spot equipment problems early enough to plan maintenance and avoid unplanned failures. It serves power generation and oil and gas operators, with a focus on rotating equipment reliability and condition monitoring. Founded in 1999 and headquartered in Lisle, Illinois, the company has 51–200 employees and operates as part of GE Vernova. Its software is built on Java, Spring Boot, Angular, PostgreSQL and Kafka, deployed on AWS with Kubernetes and Helm.
SmartSignal uses Java, Spring Boot, Angular, PostgreSQL and Kafka, running on AWS with Kubernetes and Helm, plus Azure DevOps, Jenkins and Maven for builds, and SAP for business operations.
SmartSignal is headquartered in Lisle, Illinois, United States, and is part of GE Vernova.
SmartSignal is hiring in the United States, India and Singapore, mainly across engineering, manufacturing and operations roles, and hiring is accelerating.
Other companies in the same industry, closest in size
SmartSignal's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.