AI talent platform builder with deep PLM, IIoT and integration engineering
Bright Vision Technologies is a Bridgewater, NJ product engineering firm behind Lumina, an AI talent-intelligence and automation platform. Its job posts tell a broader story: near-exclusively senior engineering hiring around Windchill PLM, ERP and MES integration, IIoT edge stacks (OPC UA, MQTT, AWS IoT Greengrass) and semiconductor verification (SystemVerilog, UVM). Adoption of Terragrunt, Atlantis, Spacelift, OPA and Checkov points to a push toward policy-governed infrastructure-as-code.
Notable leadership hires: Chief Architect
Bright Vision Technologies is a privately held, minority-owned AI technology company founded in 2020 and headquartered in Bridgewater, New Jersey. Its flagship product, Lumina, combines AI-driven candidate sourcing, resume matching, LLM orchestration, workflow automation and blockchain-based credential verification for staffing and enterprise automation use cases. The platform is designed to connect with CRM, ERP, HRMS and ATS systems and deploys across AWS, Azure, GCP and Red Hat OpenShift. The company employs 51-200 people and hires in the United States and India, with a workforce weighted heavily toward senior engineers.
Its stack spans Python, Go and C++, Docker and Kubernetes on AWS, Azure and GCP, test tools like Playwright, Selenium, Cypress and k6, plus IIoT tools such as MQTT, OPC UA, InfluxDB and TimescaleDB.
Yes. Hiring is accelerating and dominated by senior engineering roles in the United States and India, with a Chief Architect among notable leadership openings, and smaller needs in finance, data, HR and security.
Job posts point to Windchill-to-MES and Coupa-to-ERP integrations, end-to-end IIoT and hybrid edge-cloud architectures, semiconductor design tooling, post-silicon validation infrastructure and Salesforce integration design.
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Bright Vision Technologies'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.