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$154,450–$219,125.
Based on 240 similar postings.
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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
1675 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1080 roles with salary data.
Senior Security Engineer, Detection Engineering joins the Detection and Automation Engineering team to build reliable detection coverage across enterprise, cloud, developer, AI, and production environments. The role involves translating incidents, threat intelligence, and red-team findings into production-ready detection logic. Key responsibilities include building and tuning high-confidence detections, driving the full detection lifecycle, and strengthening detection-as-code workflows. You will investigate real telemetry, shape logging requirements, and coach analysts on credible detection design. Required skills include 8+ years of experience in security engineering or threat hunting, a degree in a relevant field, and hands-on experience with SIEM platforms. Technical proficiencies include SPL, KQL, SQL, and Python for analyzing security telemetry. You must understand attacker behavior across identity, endpoint, cloud, and network systems to solve complex security problems.
What does a Security Engineer earn in California?
Median $208250 from 42 postings across 16 companies.
Build and tune high-confidence detections across platforms like Splunk, Microsoft Sentinel, CrowdStrike, and cloud-native logs.
Translate incidents, threat intelligence, and red-team findings into testable and operable detection logic.
Investigate real telemetry to analyze field behavior, timing, baselines, and potential false positives.
Manage the full detection lifecycle including design, query development, validation, peer review, and deployment.
Strengthen detection-as-code workflows using test data, quality checks, and automated coverage tracking.
Shape logging, normalization, and enrichment requirements when necessary telemetry is missing or difficult to use.
Coach analysts and engineers through 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 SPL, KQL, SQL, Python, or similar languages.
Practical understanding of attacker behavior across identity, endpoint, cloud, network, email, collaboration tools, and developer infrastructure.
Ability to develop production-ready detections from raw logs, accounting for field semantics, thresholds, joins, baselines, and false positives.
Proficiency with Git, code review, automated checks, CI/CD, and documentation.
Experience leading a detection-as-code program across multiple platforms (preferred).
GenAI
Agentic Workflows
Security Detection and Response
Threat Hunting
Spark
Databricks
Streaming Alert Pipelines
Cloud Control Planes
Identity
Production Software
Data Systems
Automation
Containment