This role pays more than
78%
of similar roles. Most pay
$154,914–$216,000
— the shaded band above.
At the midpoint, this role pays about
$219k
versus about
$185k
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
930 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 915 roles with salary data.
The Senior Security Engineer, Detection Engineering joins the Detection and Automation Engineering team to build reliable detection coverage across enterprise, cloud, developer, and production environments. This role involves translating incident reports, threat intelligence, and red-team findings into high-confidence detection logic while managing the full lifecycle from design and query development to deployment and tuning. The engineer will work with tools like Splunk, Microsoft Sentinel, Defender, and CrowdStrike, utilizing languages such as SPL, KQL, SQL, and Python to analyze security telemetry and automate workflows. Key responsibilities include strengthening detection-as-code pipelines, shaping logging requirements, and mentoring others on query reviews. The role addresses the challenge of turning complex signals into actionable alerts while reducing noise across identity, endpoint, network, and cloud infrastructure to protect critical systems from sophisticated threats.
What does a Security Engineer earn?
Median $185250 from 84 postings across 40 companies.
Build and tune high-confidence detections across platforms like Splunk, Microsoft Sentinel, CrowdStrike, and cloud-native logs.
Translate incident reports, threat intelligence, and red-team findings into actionable detection logic.
Investigate raw telemetry to analyze field behavior, timing, baselines, and potential false positives before alerting.
Manage the full detection lifecycle including design, query development, validation, peer review, and deployment.
Strengthen detection-as-code workflows through automated checks, coverage tracking, and health reporting.
Define logging, normalization, and enrichment requirements when existing telemetry is insufficient or difficult to use.
Coach analysts and engineers through technical design reviews and provide guidance on detection credibility.
What we're looking for
8+ years of experience in detection engineering, security engineering, threat hunting, incident response, SOC engineering, or information security monitoring.
A degree in Computer Science, Cybersecurity, Engineering, or equivalent experience.
Hands-on experience building and tuning detections in a major SIEM or security analytics platform.
Strong query and scripting skills in languages such as SPL, KQL, SQL, or Python.
Practical understanding of attacker behavior across identity, endpoint, cloud, network, email, collaboration tools, and developer infrastructure.
Ability to move from raw logs to production-ready detections including field semantics, thresholds, joins, baselines, and triage context.
Proficiency with Git, code review, automated checks, CI/CD, and documentation.
Experience leading a detection-as-code program or specialized knowledge in cloud, Kubernetes, or AI-tooling attack paths (preferred).