Insider Threat Detection Engineer

NVIDIA is hiring an Insider Threat Engineer to join the team responsible for protecting our people, intellectual property, engineering systems, and data. We protect source code, hardware and software designs, AI models and artifacts, research, build systems, and computing environments. Our work combines security engineering with insider-threat investigations across identity, endpoint, cloud, collaboration, source-code, and data-protection systems. We build detections, automation, integrations, and investigation tools, and we use those capabilities to examine activity that may put NVIDIA  this role, you will turn technical and business information into timelines and findings that others can understand and act on.

We work closely with Security, Legal, HR, Privacy, IT, and engineering teams throughout an investigation. We are looking for someone who can write code, analyze complex activity, handle sensitive information carefully, and distinguish facts from assumptions.

We develop and operate the capabilities NVIDIA uses to identify and investigate insider threats. In this role, you will:

• Build, test, deploy, and tune detections across identity, endpoint, cloud, SaaS, collaboration platforms, source-code repositories, build systems, removable media, data movement, and employee-lifecycle signals.
• Lead and support investigations involving unusual data movement, unapproved application use, external sharing, access anomalies, compromised accounts, employee transitions, and other defined insider-risk scenarios.
• Collect and correlate information from endpoint, identity, cloud, source-code, collaboration, data-protection, and approved business sources to reconstruct activity and establish timelines.
• Develop automation, data pipelines, integrations, dashboards, and investigation tools that reduce manual work and help us investigate cases more consistently and efficiently.
• Operate and improve our insider-risk and data loss prevention capabilities by assessing policy performance, detection coverage, alert quality, false positives, and connections to case-management workflows.
• Use documented hypotheses, threat models, test cases, version control, peer review, and performance measures to improve detections; work with system owners when we identify gaps in telemetry or controls.
• Present findings that distinguish facts from inferences and explain confidence levels, data limitations, alternative explanations, and unanswered questions to Security, Incident Response, Legal, HR, Privacy, and business partners.
• Work with authorized partners on evidence preservation, containment, escalation, and remediation while following requirements for investigative scope, access, confidentiality, auditing, and retention.

• We are looking for candidates who bring both engineering experience and the ability to investigate sensitive security matters.
• Bachelor’s degree in Computer Science, Cybersecurity, Information Security, Data Engineering, or a related field, or equivalent experience.
• 7+ years of experience in insider threat, detection engineering, security operations, incident response, digital forensics, data protection, threat hunting, or a related security field.
• Experience conducting security investigations, including defining scope, collecting evidence, developing timelines, analyzing activity, documenting findings, escalating concerns, and applying lessons learned.
• Experience with security technologies such as SIEM, DLP, UEBA, EDR, insider-risk management, identity security, case management, or security orchestration.
• SQL, security-query, and data-analysis skills, including experience correlating incomplete or inconsistent data from multiple sources.
• Knowledge of identity and access management, endpoints, cloud services, collaboration platforms, SaaS integrations, data classification, source-code environments, and data-exfiltration methods.
• Experience translating insider-risk scenarios into telemetry requirements, detection logic, investigation workflows, controls, test cases, and performance measures.
• Ability to assess activity objectively, distinguish indicators from substantiated findings, avoid assumptions about intent, and explain the limits of available evidence.
• Clear written and verbal communication and experience working with technical, legal, privacy, HR, and business partners on sensitive matters.

• We value candidates who have used engineering to make insider-threat investigations more accurate, consistent, and efficient.
• Experience engineering insider-risk, data loss prevention, or endpoint data-protection capabilities and connecting their signals to SIEM, orchestration, enrichment, or case-management systems.
• Experience building security data pipelines, entity timelines, relationship models, behavioral baselines, or applications used by investigators.
• Knowledge of digital forensics, evidence preservation, chain of custody, incident-response coordination, and the legal,…