Senior Detection Engineer — Equity-Eligible Detection & Automation

NVIDIA Corporation

California

On-site

USD 168,000 - 311,000

Full time

5 days ago
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Benefits offered by this job

Equity
Benefits

Job summary

NVIDIA Security is seeking a Senior Detection Engineer to join the Detection and Automation Engineering team. You will build reliable detections across enterprise, cloud, developer, and AI environments, turning complex signals into trusted alerts for responders.

You will drive the full detection lifecycle—from design and query development to validation, rollout, and monitoring—while strengthening detection‑as‑code workflows and mentor analysts and engineers through design reviews.

Qualifications

  • 8+ years of experience in detection engineering, security engineering, threat hunting, incident response, SOC engineering, or information security monitoring.
  • Degree in Computer Science, Cybersecurity, Engineering, or equivalent experience.
  • Hands‑on experience building and tuning detections in a major SIEM or security analytics platform.

Responsibilities

  • Build and tune high‑confidence detections across platforms (Splunk, Defender, CrowdStrike, cloud logs, identity telemetry, endpoint data, SaaS, developer systems).
  • Translate incidents, hunts, threat intel, red‑team findings, and vulnerability context into testable detection logic.
  • Investigate telemetry before alerts, including field behavior, timing, joins, baselines, and false positives.

Skills

Detection engineering
Scripting (SPL/KQL/SQL/Python)
Communication
Git / CI–CD

Education

BS in CS / Cybersecurity / Engineering

Tools

Splunk
Microsoft Defender / Sentinel
CrowdStrike

Job description

NVIDIA Security is seeking a Senior Detection Engineer to join the Detection and Automation Engineering team. You will build reliable detections across enterprise, cloud, developer, and AI environments, turning complex signals into trusted alerts for responders.

You will drive the full detection lifecycle—from design and query development to validation, rollout, and monitoring—while strengthening detection‑as‑code workflows and mentor analysts and engineers through design reviews.

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