Security Data Engineer

NVIDIA is redefining the future of computing! From accelerated AI to large scale infrastructure, the security of our platforms and data is critical to everything we build. On the Security Platform Engineering team, we focus on building the data foundations that power detection, automation, and AI driven security operations across the company. How does raw security telemetry become usable intelligence? We build the platform that makes it possible. This role helps design and operate the security data platform that transforms signals from endpoint, identity, network, and cloud environments into standardized, high quality datasets. These datasets power the work of security engineers and researchers across NVIDIA. The role sits at the intersection of security engineering, data engineering, and platform architecture, enabling advanced detection, automation, and analytics across the company! What you’ll be doing: This role focuses on building and operating the data platform that powers security operations across NVIDIA. Design and operate telemetry ingestion pipelines that collect and process data from endpoint, identity, network, cloud, and other enterprise security sources. Normalize and enrich telemetry into structured datasets using standardized schemas and entity models so signals from different systems can be correlated consistently. Build and maintain data models and graph ready structures that connect users, devices, identities, and activity across the security ecosystem. Provide governed access to security datasets through APIs, query interfaces, and streaming pipelines used by Detection, Automation, AI, and Analytics teams. Define lifecycle and retention strategies across hot, cold, and archive storage tiers to balance performance, scalability, and cost. Work closely with enterprise data engineering and security engineering teams to align on architecture, data fabric strategy, and shared platform capabilities. Maintain clear documentation of data sources, schemas...