Senior Security Engineer

🔥 0 minutes ago

🗽 New York – Remote

🗽 New York – Remote

💵 $168k - $310.5k / year

⏰ Full Time

🟠 Senior

👮‍♂️ Cybersecurity / Security Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Focus 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, and entity definitions so teams across NVIDIA can reliably build on the platform.

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, Cybersecurity, Data Engineering, or a related technical field, or equivalent experience. • 6+ years of experience designing and operating large scale data pipelines in a security or enterprise data environment. • Strong understanding of security telemetry including endpoint, identity, network, cloud, and email data sources. • Experience working with modern data platforms and ingestion technologies such as Databricks, Snowflake, Kafka, Spark, Flink, or similar systems. • Hands on experience with data normalization frameworks or standards such as OCSF, ECS, or equivalent approaches. • Understanding of data access patterns including APIs, query layers, views, and role based access control. • Ability to collaborate across teams and clearly document complex data systems for a broad technical audience.

🏖️ Benefits

• Competitive salaries • Comprehensive benefits package • Equity eligibility