Senior Security Engineer, Detection Engineering

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🔥 0 minutes ago

🏄 California, New York, +1 more states – Remote

🏄 California – Remote 🗽 New York – Remote 🤠 Texas – Remote

💵 $168k - $310.5k / year

⏰ Full Time

🟠 Senior

👮‍♂️ Cybersecurity / Security Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

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

• Build and tune high-confidence detections across Splunk, Microsoft Sentinel / Defender, CrowdStrike, cloud-native logs, identity telemetry, endpoint data, SaaS platforms, and developer systems. • Translate incidents, hunts, threat intelligence, red-team findings, and vulnerability context into testable detection logic. • Investigate real telemetry, including field behavior, timing, joins, baselines, and false positives, before alerting. • Drive the full detection lifecycle: design, query development, validation, peer review, documentation, deployment, tuning, monitoring, and retirement. • Strengthen detection-as-code workflows through test data, quality checks, metadata, rollout safety, coverage tracking, and detection health reporting. • Partner with responders to reduce noise, add context, improve severity decisions, and build follow-up detections. • Shape logging, normalization, enrichment, and retention requirements when needed telemetry is missing or difficult to use. • Coach analysts and engineers through design reviews, query reviews, and guidance on credible detections.

🎯 Requirements

• 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, especially SPL, KQL, SQL, Python, or similar languages. • Practical understanding of attacker behavior across identity, endpoint, cloud, network, email, collaboration tools, developer infrastructure, secrets, and data theft. • Ability to move from raw logs to production-ready detection content, including field semantics, thresholds, joins, baselines, false positives, missing data, and triage context. • Experience with Git, code review, automated checks, CI/CD, documentation, and operational ownership. • Ability to explain detection value, limitations, next steps, and when not to alert. • Experience or knowledge in detection-as-code programs, cloud, identity, Kubernetes, CI/CD, supply-chain, AI tooling, developer systems, incident response, threat hunting, red team, purple team, malware analysis, forensics, replay tests, synthetic telemetry, attack emulation, detection unit tests, or coverage reporting is advantageous.

🏖️ Benefits

• Equity • Benefits