Senior Security Engineer

Nvidia

Remote

Quick summary

Work type: Remote
Location: CANY
Salary: $168,000–$270,250 / yr
Posted: 5 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $181k

This role $219k

$120k most similar roles pay here $286k

This role pays more than 80% of similar roles. Most pay $150,337–$212,250 — the shaded band above. At the midpoint, this role pays about $219k versus about $181k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 942 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 931 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior Security Engineer

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At NVIDIA’s Security Platform Engineering team, the Senior Data Engineer role focuses on building and operating a security data platform that transforms raw telemetry from various sources into standardized datasets. Day-to-day responsibilities include designing and managing ingestion pipelines to collect and process endpoint, identity, network, cloud, and other enterprise security data, normalizing this information into structured formats for consistent correlation, and creating data models and graph structures for advanced detection and analytics. The role also involves providing secure access to these datasets through APIs and query interfaces, defining storage lifecycle strategies, and collaborating with cross-functional teams to ensure alignment on platform capabilities. Ideal candidates have a strong background in large-scale data pipeline design, experience with modern data platforms like Databricks and Kafka, knowledge of security telemetry sources, and hands-on familiarity with normalization frameworks such as OCSF or ECS.

Skills

Databricks Snowflake Kafka Spark Flink OCSF ECS APIs Role-Based-Access-Control CrowdStrike_NG_SIEM Splunk Microsoft_Sentinel SIEM_data_models SOAR_integrations Graph_databases Python SQL CI/CD

What you'll do

Design and operate telemetry ingestion pipelines from various security sources.
Normalize and enrich telemetry data into structured datasets using standardized schemas.
Build and maintain data models connecting users, devices, identities, and activity.
Provide governed access to security datasets through APIs and query interfaces.
Define lifecycle and retention strategies for different storage tiers.
Work closely with enterprise data engineering teams on shared platform capabilities.
Maintain clear documentation of data sources, schemas, and entity definitions.

What we're looking for

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

Senior Security Engineer

Apple Inc

Cupertino, CA 73 days ago $181,100–$272,100

AI/ML Cloud-Native Applications Distributed Systems Vector Databases LLM-Based Applications MCP Inference Services Model Training Pipelines Prompt Injection Data Leakage Supply Chain Vulnerabilities CI/CD Python Go JavaScript PostgreSQL AWS Azure GCP Kubernetes Terraform Prometheus Grafana

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