Senior Security Engineer, Detection Engineering

🕒 August 14

🏄 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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👻 Ghost score 36%

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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 before alerting, including field behavior, timing, joins, baselines, and false positives • Drive the full detection lifecycle: design, query development, validation, peer review, documentation, deployment, tuning, monitoring, and retirement • Strengthen detection-as-code workflows, including 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 • Coach analysts and engineers through design reviews, query reviews, and guidance on credible detections • Work closely with incident response, threat intelligence, security operations, cloud security, and engineering teams to protect NVIDIA environments

🎯 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 used to analyze security telemetry and automate repetitive work • 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 a production-ready detection, including field semantics, thresholds, joins, baselines, false positives, missing data, and triage context • Comfortable working with Git, code review, automated checks, CI/CD, documentation, and operational ownership of the content you ship • Clear communication and sound judgment • Led or materially improved a detection-as-code program across more than one security platform • Background in cloud, identity, Kubernetes, CI/CD, supply-chain, or AI-tooling attack paths • Experience detecting abuse in developer systems, package ecosystems, secrets workflows, AI coding tools, agents, bots, or model-serving infrastructure • Experience working with incident response, threat hunting, red team, purple team, malware analysis, or forensics teams • Experience building validation methods such as replay tests, synthetic telemetry, attack emulation, detection unit tests, or coverage reporting

🏖️ Benefits

• Equity • Benefits

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